研究業績

2024

1. Syadza Atika Rahmah, Naoyuki Kubota, Estimation of Object Handover Position using Human-Robot Proxemics and Unsupervised Pattern Recognition, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol.28, No.2, Mar 20, 2024.
2. Kurnianingsih, Retno Widyowati, Achmad Fahrul Aji, Eri Sato-Shimokawara, Takenori Obo, Naoyuki Kubota, Human Pose Estimation with Multi-Camera Localization Using Detection for IoT-Driven Multivariate Time Series on Moringa Leaf Extraction, International Journal of Automation Technology, Vol.18 No.2, 2024.

2023

1. 大塩 晃平, 辻元 誠, 谷口 和彦, 久保田 直行, 概略地図情報と運動学モデルを用いた照度測定ロボットの進化的自己位置推定, システム制御情報学会論文誌, 第36巻 第5号, 144-153, 2023.
2. Shoko Oikawa, Yasuhiro Matsui, Naoyuki Kubota, Shigeru Aomura, Kazuhiro Sorimachi, Akira Imanishi, Takeshi Fujimura, Characteristics of Right-Turning Light-Duty Truck Collision Accidents Involving Pedestrians in Different Time Zones, International Journal of Automotive Technology, Vol.24, No.2, 367-375, 2023. (DOI:10.1007/s12239-023-0030-9)
3. Wenbang Dou, Weihong Chin, Naoyuki Kubota, Multi-Scopic Cognitive Memory System for Continuous Gesture Learning, Biomimetics , Vol.8, No.1, p.88, 2023. (DOI: 3390/biomimetics8010088)
4. Adnan Rachmat Anom Besari, Azhar Aulia Saputra, Takenori Obo, Kurnianingsih, Naoyuki Kubota, Multiscopic CPSS for Independent Block-Design Test Based on Hand–Object Interaction Recognition With Visual Attention, IEEE Access, vol. 11, pp. 58188-58208, 2023.
5. Takenori Obo, Kunikazu Hamada, Masatoshi Eguchi, Naoyuki Kubota, Human Pose Estimation with Multi-Camera Localization Using Multi-Objective Optimization Based on Topological Structured Learning, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.27, No.4, pp. 543-553, 2023.
6. Azhar Aulia Saputra, Chin Wei Hong, Tadamitsu Matsuda, Naoyuki Kubota, A Real-time Control System of Upper-limb Human Musculoskeletal Model with Environmental Integration, IEEE Access, Vol.11, pp. 74337 – 74363, 2023. (DOI: 10.1109/ACCESS.2023.3296100)
7. Azhar Aulia Saputra, János Botzheim, Naoyuki Kubota, Neuro-Cognitive Locomotion with Dynamic Attention on Topological Structure, Machines, Vol.11, No.6, p.619 (DOI:10.3390/machines11060619)
8. Fernando Ardilla, Azhar Aulia Saputra, Naoyuki Kubota, Multi-Scale Batch-Learning Growing Neural Gas Efficiently for Dynamic Data Distributions, International Journal of Automation Technology, Vol.17, No.3, pp. 206-216, 2023. (DOI:20965/ijat.2023.p0206)
9. Mohamad Yani, Azhar Aulia Saputra, Wei Hong Chin, Naoyuki Kubota, Investigation of Obstacle Prediction Network for Improving Home-Care Robot Navigation Performance, Journal of Robotics and Mechatronics, 35, No.2, pp. 510-520, 2023. (DOI:10.20965/jrm.2023.p0510)
10. Mohamad Yani, Nao Yamada, Chyan Zheng Siow, Naoyuki Kubota, An efficient activity recognition for homecare robots from multi-modal communication dataset, International Journal of Advances in Intelligent Informatics, Vol.9, No.1, 2023. (DOI:26555/ijain.v9i1.903)
11. Akihiro Yorita, Simon Egerton, Carina Chan, Rebecca Flower, Naoyuki Kubota, Chatbots and Robots: A framework for the self-management of occupational stress, 2023. (DOI:10.21203/rs.3.rs-2549648/v1)
12. Masaya Shoji, Kohei Oshio, Naoyuki Kubota, A Spatial Attention-Based Behavior Coordination and Scaling Rule of Action Outputs of Mobile Robot in Dynamic Environment, IEEE/SICE International Symposium on System Integration, pp.1-6, January 17-20, 2023. (DOI:10.1109/SII55687.2023.10039382)
13. Azhar Aulia Saputra, Naoyuki Kubota, A Multi-Objective Evolutionary Algorithm for Neuro-Locomotion of a Legged Robot With Malfunction Compensation, Global Perspectives on Robotics and Autonomous Systems: Development and Applications, pp.1-23, 2023.
14. Akihiro Yorita, Simon Egerton, Carina Chan, Naoyuki Kubota, Chatbots and robots: a framework for the self-management of occupational stress, ROBOMECH Journal volume 10, Article number: 24 (2023), SpringerOpen.(DOI: https://doi.org/10.1186/s40648-023-00261-z)

2022

1. Adnan Rachmat Anom Besari, Azhar Aulia Saputra, Wei Hong Chin, Kurnianingsih, Naoyuki Kubota, Hand-Object Interaction Detection based on Visual Attention for Independent Rehabilitation Support, IEEE World Congress on Computational Intelligence (WCCI) 2022, July 18-23, 2022, Padua, Italy. (DOI: 10.1109/IJCNN55064.2022.9892903)
2. 長谷良夜, 大保武慶, 創造的学習における身体化認知を促す没入型ロボット教材の構築, 日本知能情報ファジィ学会誌, Vol.34, No.4, pp. 683-696, 2022.
3. 井上椋太, 草刈佑太, 辻元誠, 谷口和彦, 久保田直行, 自律移動型照度計測ロボットの共進化的最適化, 保全学, Vol. 21, No.1, pp.93-99, April 2022.
4. Azhar Aulia Saputra, Kazuyoshi Wada, Shiro Masuda, Naoyuki Kubota, Multi-scopic neuro-cognitive adaptation for legged locomotion robots, Nature Scientific reports, vol:12-1, page 1-12, Nature Publishing Group, 2022.
5. Adnan Rachmat Anom Besari, Azhar Aulia Saputra, Wei Hong Chin, Kurnianingsih , Naoyuki Kubota , Finger Joint Angle Estimation with Visual Attention for Rehabilitation Support: A Case Study of the Chopsticks Manipulation Test, IEEE Access, Vol.10, pp. 91316–91331, 2022.　(DOI:10.1109/ACCESS.2022.3201894)
6. Wei Hong Chin, Naoyuki Kubota, Chu Kiong Loo, An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building, Cognitive Robotics and Adaptive Behaviors, 2022. (DOI: 10.5772/intechopen.104818)
7. Hasan Imaduddin, Azhar Aulia Saputra, Indra Adji Sulistijono, Naoyuki Kubota, Intelligent Biped Robot Simulation Locomotion using Deep Q Network, 2022 International Electronics Symposium (IES 2022), pp. 324-329, August 9-11, 2022, Surabaya, Indonesia. (DOI: 10.1109/IES55876.2022.9888748.)
8. Fernando Ardilla, Mohamad Yani, Azhar Aulia Saputra, Weihong Chin, Naoyuki Kubota, Topological mapping based on perceiving-acting cycle in sharing cognitive environments for robot partners, Communications in Information and Systems Vol.22, No.4, pp.431-458, 2022. (DOI: 4310/CIS.2022.v22.n4.a1)
9. Chang-Shing Lee, Yi-Lin Tsai, Mei-Hui Wang, Sheng-Hui Huang, Marek Reformat, Naoyuki Kubota, Adaptive fuzzy neural agent for human and machine co-learning, International Journal of Fuzzy Systems, Vol.21, pp. 778–798, 2 (DOI: 10.1007/s40815-021-01188-6)
10. Dou Wenbang, Chin Wei Hong, Naoyuki Kubota, Multi-scopic Cognitive Memory System For Class Incremental Learning, ロボティクスシンポジア予稿集, Vol.27, pp.8-13, 2022.

2021

1. Shoko Oikawa, Yasuhiro Matsui, Naoyuki Kubota, Shigeru Aomura, Kazuhiro Sorimachi, Akira Imanishi, Takeshi Fujimura, Features of Fatal Truck Accidents Compared with Sedans, International Journal of Automotive Technology, Vol.22, No.4, pp.931-939, 2021.(DOI：1007/s12239-021-0084-5)
2. Jinseok Woo, Yasuhiro Ohyama, Naoyuki Kubota, An Expansion and Application of Human Coexistence Robot System Using Smart Devices, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.25, No.2, pp.234-241, March 2021.
3. Azhar Aulia Saputra, Naoyuki Takesue, Kazuyoshi Wada, Auke Jan Ijspeert, Naoyuki Kubota, AQuRo: A Cat-like Adaptive Quadruped Robot with Novel Bio-Inspired Capabilities, Frontiers in Robotics and AI 8, April 2021.
4. Adnan Rachmat Anom Besari, Azhar Aulia Saputra, Wei Hong Chin, Naoyuki Kubota, Kurnianingsih, Feature-based Egocentric Grasp Pose Classification for Expanding Human-Object Interactions, 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), June 20-23, 2021, Kyoto, Japan. (DOI:10.1109/ISIE45552.2021.9576369)
5. Wei Quan, Naoyuki Kubota, Multi-view 3D Human Pose Tracking Based on Evolutionary Robot Vision, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.25, No.4, pp.432-441, July 2021.
6. Shuai Shao, Naoyuki Kubota, Kazutaka Hotta, Takuya Sawayama, Behavior estimation based on multiple vibration sensors for elderly monitoring systems, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.25, No.4, pp.489-497, July 2021.
7. Shuai Shao, Kouhei Yamamoto, Naoyuki Kubota, An elderly monitoring system based on multiple ultra-sensitive vibration and pneumatic sensors, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.25, No.4, pp.423-431, July 2021.
8. 長谷川純爾, 田村篤敬, 久保田直行, 頭頚部・有限要素モデルを用いたむち打ち傷害発生メカニズムにおける神経根損傷に関する研究, 日本機械学会論文集, 87巻, 900号, p.21-00103, August 1, 2021.
9. Sundus Abrar, Chu Kiong Loo, Naoyuki Kubota, A Multi-Agent Approach for Personalized Hypertension Risk Prediction, IEEE Access 9, pp.75090-75106, 2021.　 (DOI: 10.1109/ACCESS.2021.3074791)
10. Azhar Aulia Saputra, Janos Botzheim, Auke Jan Ijspeert, Naoyuki Kubota, Combining Reflexes and External Sensory Information in a Neuromusculoskeletal Model to Control a Quadruped Robot, IEEE Transactions on Cybernetics, 2021.　(DOI: 10.1109/TCYB.2021.3052253)
11. 戸田雄一郎, 宮瀬光梨, 岩朝睦美, 和田亮雅, 竹田宗馬, 松野隆幸, 久保田直行, 見浪護, Growing Neural Gasに基づく環境のトポロジカルマップの構築と未知環境における経路計画, 知能と情報, Vol. 33, No. 4, pp.872-884, 2021.

2020

1. Chang-Shing Lee, Mei-Hui Wang, Yi-Lin Tsai, Li-Wei Ko, Bo-Yu Tsai, Pi-Hsia Hung, Lu-An Lin, Naoyuki Kubota, Intelligent agent for real-world applications on robotic edutainment and humanized co-learning, Journal of Ambient Intelligence and Humanized Computing, 11, pp.3121–3139, 2020.
2. (Editorial) Zhaojie Ju, Jinguo Liu, Yong An Huang, Naoyuki Kubota, John Q.Gan, Neural Networks and Learning Systems for Human Machine Interfacing, Neurocomputing, 390, pp. 196-197, 2020. (DOI: https://doi.org/10.1016/j.neucom.2019.10.058)
3. Jinseok Woo, Naoyuki Kubota, A modular structured architecture using smart devices for socially- embedded robot partners, Handbook of Research on Advanced Mechatronic Systems and Intelligent Robotics, pp.288-309, 2020. (DOI:10.4018/978-1-7998-0137-5.ch011)
4. 山本志遠, 梅津健也, 蕪木梨乃, 久保田直行, マルチロボットコミュニケーションを用いた人に寄り添う情報支援, 知能と情報, Vol.32, No.6, 2020.
5. 久保田直行, 大保武慶, 松田雅弘, 青村茂, 万治淳史, 武田隆宏, 自動車運転再開に向けた認知機能評価支援システム, 自動車技術, 74, No.11, 2020.
6. Jiahui Yu, Hongwei Gao, Wei Yang, Yueqiu Jiang, Weihong Chin, Naoyuki Kubota, Zhaojie Ju, A Discriminative Deep Model with Feature Fusion and Temporal Attention for Human Action Recognition, IEEE Access 8, pp.43243-43255, 2020.
7. Shion Yamamoto, Jinseok Woo, Wei Hong Chin, Keiichi Matsumura, Naoyuki Kubota, Interactive information support by robot partners based on informationally structured space, Journal of Robotics and Mechatronics, Vol.32, No.１, pp.236-243, 2020.
8. Chang Shing Lee, Mei Hui Wang, Yi Lin Tsai, Li Wei Ko, Bo Yu Tsai, Pi Hsia Hung, Lu An Lin, Naoyuki Kubota, Intelligent agent for real-world applications on robotic edutainment and humanized co-learning (2020) Journal of Ambient Intelligence and Humanized Computing, Vol.11, No.8, pp. 3121-3139, 2020.
9. Zhaojie Ju, Jinguo Liu, YongAn Huang, Naoyuki Kubota, John Q Gan, Neural networks and learning systems for human machine interfacing (2020) Neurocomputing, 390, pp. 196-197, 2020.
10. (Editorial) Chang Shing Lee, Jinguo Liu, Naoyuki Kubota, Guest Editorial: Special section on latest advances on industrial intelligent video systems and analytics (2020) IEEE Transactions on Industrial Informatics, Vol.16, No.1, art. no. 8896991, pp. 475-476, 2020.
11. (Editorial) Huan Zhao, LiMin Zhu, Yunyi Jia., Naoyuki Kubota, Focused section on advanced robotic systems for industrial automation (2020) International Journal of Intelligent Robotics and Applications, Vol.4 No.2, pp. 133-135, 2020.
12. Huan Zhao, Li Min Zhu, Yunyi Jia, Naoyuki Kubota, Focused section on advanced robotic systems for industrial automation, International Journal of Intelligent Robotics and Applications, Vol.4, No.2, pp.133-135, June 1, 2020.
13. Jing Li, Kan Jin, Dalin Zhou, Naoyuki Kubota, Zhaojie Ju, Attention mechanism-based CNN for facial expression recognition, Neurocomputing 411, pp.340-350, October 21, 2020.
14. Jinseok Woo, Yasuhiro Ohyama, Naoyuki Kubota, Robot partner development platform for human-robot interaction based on a user-centered design approach, Applied Sciences (Switzerland), Vol.10, No.22, pp.1-20, November 2, 2020.
15. Chang Shing Lee, Mei Hui Wang, Yi Lin Tsai, Wei Shan Chang, Marek Reformat, Giovanni Acampora, Naoyuki Kubota, FML-Based Reinforcement Learning Agent with Fuzzy Ontology for Human-Robot Cooperative Edutainment, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol.28, No.6, pp.1023-1060, December 2020.
16. Adnan Rachmat Anom Besari, Wei Hong Chin, Naoyuki Kubota, Kurnianingsih, Ecological Approach for Object Relationship Extraction in Elderly Care Robot, 21st International Conference on Research and Education in Mechatronics (REM) 2020, December 10, 2020, Cracow, Poland. (DOI: 10.1109/REM49740.2020.9313877)

2019

1. Wei Quan, Jinseok Woo, Yuichiro Toda, Naoyuki Kubota, Human Posture Recognition for Estimation of Human Body Condition, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.23, No.3, pp.584-585, 2019.
2. Shuai Shao, Naoyuki Kubota, A Fuzzy Inference-Based Spiking Neural Network for Behavior Estimation in Elderly Health Care System, Journal of Advanced Computational Intelligence and Intelligent Informatics, Informatics (JACIII), Vol. 23 No.l 3, pp. 528-535, May 20, 2019.
3. Wei Hong Chin, Yuichiro Toda, Naoyuki Kubota, Chu Kiong Loo, Manjeevan Seera, Episodic Memory Multimodal Learning for Robot Sensorimotor Map Building and Navigation, IEEE Transactions on Cognitive and Developmental Systems, Vol.11, No.2, pp.210-220, 2019.
4. Shengyong Chen, Honghai Liu, Naoyuki Kubota, 3-D Vision for Robot Perception, Chen, 3-D Vision for Robot Perception, Chen, International Journal of Advanced Robotic Systems Vol.16, No.4, 2019.
5. Wei Quan, Houxiang Zhang, Naoyuki Kubota, Automatic fiber detection and focus system from image frames, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) LNAI, Vol. 11742, 2019.
6. Azhar Aulia Saputra, János Botzheim, Naoyuki Kubota, Evolving a Sensory-Motor Interconnection Structure for Adaptive Biped Robot Locomotion, IEEE Transactions on Cognitive and Developmental Systems, Vol.11, No.2, 2019.
7. Yinfeng Fang, Jianhua Zhang, Naoyuki Kubota, Houxiang Zhang, Bio-Signal Analysis for Human Machine Interaction, International Journal of Humanoid Robotics, Vol.16, No.4, 2019.
8. Zhang Haibin, Naoyuki Kubota, Method on human activity recognition based on convolutional neural network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) LNAI, Vol.11742, 2019.
9. Ryosuke Tanaka, Jinseok Woo, and Naoyuki Naoyuki Kubotaonverbal Communication Based on Instructed Learning for Socially Embedded Robot Partners, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.23, No.3, pp.584-585, 2019.
10. Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, Yiping Liu, Topological Clustering via Adaptive Resonance Theory with Information Theoretic Learning, IEEE Access, Vol.7, pp.76920-76936, 2019. (DOI:10.1109/ACCESS.2019.2921832)
11. Dalai Tang, Naoyuki Kubota, Lifelog generation based on informationally structured space, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) LNAI, Vol. 11742, 2019.
12. Wei Hong Chin, Naoyuki Kubota, Zhaojie Ju, Honghai Liu, Navigate to Remember: A Declarative Memory Model for Incremental Semantic Mapping, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) LNAI, Vol. 11743, pp.142-153, 2019.( DOI: 10.1007/978-3-030-27538-9_13)
13. Kenji Hashimoto, Takashi Matsuzawa, Xiao Sun, Tomofumi Fujiwara, Xixun Wang, Yasuaki Konishi, Noritaka Sato, Takahiro Endo, Fumitoshi Matsuno, Naoyuki Kubota, Yuichiro Toda, Naoyuki Takesue, Kazuyoshi Wada, Tetsuya Mouri, Haruhisa Kawasaki, Akio Namiki, Yang Liu, Atsuo Takanishi, Satoshi Tadokoro, WAREC-1 – A four-limbed robot with advanced locomotion and manipulation capabilities, Springer Tracts in Advanced Robotics 128, 327-397, 2019.
14. 岩朝睦美, 戸田雄一郎, 久保田直行, 予測可能な移動障害物のある環境における時空間グラフを用いた大域的経路探索と行動計画, 日本機械学会論文集, 85巻, 876号, pp.18-00254, 2019.
15. 長谷川純爾, 久保田直行, 頭頚部・有限要素モデルを用いたむち打ち傷害発生メカニズムの解明（むち打ち傷害に関する男女差についての要因検討）, 日本機械学会論文集, 85巻875号, July 25, 2019．
16. 岩朝睦美, 戸田雄一郎, 新井智之, 久保田直行, 自律移動ロボットによる未知環境の位相構造獲得と目標物への経路学習, システム制御情報学会論文誌, 第32巻, 第6号, pp.256-264, June 2019.
17. 殿村隆太, 松田雅弘, 大保武慶, 万治淳史, 久保田直行, 自動車運転再開への新たな指標に関する注意機能評価支援システム, 日本交通学会誌, Vol.18, No.2, 2019.
18. Shuai Shao, Naoyuki Kubota, A Fuzzy Inference-Based Spiking Neural Network for Behavior Estimation in Elderly Health Care System, Journal of Advanced Computational Intelligence and Intelligent Informatics, Informatics (JACIII), Vol. 23 No.3, pp. 528-535, May 20, 2019.

2018

1. Azhar Aulia Saputra, Yuichiro Toda, Janos Botzheim and Naoyuki Kubota, “Neuro-Activity-Based Dynamic Path Planner for 3-DRough Terrain,” in IEEE Transactions on Cognitive and Developmental Systems, vol. 10, no. 2, pp. 138-150, June, 2018.
2. Tay, N.W., Botzheim, J., Kubota N, Human-Centric Automation and Optimization for Smart Homes, IEEE Transactions onAutomation Science and Engineering, Volume: 15, Issue:4, pp. 1759-1771, October 2018.
3. Jinseok Woo, Janos Botzheim and Naoyuki Kubota. “A Socially Interactive Robot Partner Using Content-based ConversationSystem for Information Support”, Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), 22(6), pp. 989-997,2018.
4. Azhar Aulia Saputra, Janos Botzheim, Naoyuki Kubota, “Evolving a Sensory Motor Interconnection Structure for Adaptive BipedRobot Locomotion” Transaction on Cognitive and Developmental Systems.
5. Wei Hong Chin, Yuichiro Toda, Naoyuki Kubota, Chu Kiong Loo, Manjeevan Seera, Episodic memory multimodal learning forrobot sensorimotor map building and navigation. IEEE Transactions on Cognitive and Developmental Systems.

2017

1. Jinseok Woo, Janos Botzheim, and Naoyuki Kubota, Emotional Empathy Model for Robot Partners using Recurrent SpikingNeural Network Model with Hebbian-LMS Learning, Malaysian Journal of Computer Science (MJCS), 30(4), pp. 258-285, 2017.
2. Jinseok Woo, Janos Botzheim, Naoyuki Kubota, A modular cognitive model of socially embedded robot partners forinformation support. ROBOMECH Journal, Vol.4, No.1, 10pages, 2017.
3. Naoki Masuyama, Chu Kiong Loo, Manjeevan Seera, Naoyuki Kubota, Quantum-Inspired Multidirectional Associative MemoryWith a Self-Convergent Iterative Learning, IEEE Transactions on Neural Networks and Learning Systems, Volume PP, Issue 99, pp.1-11,2017 (CORERank A*)
4. Jinseok Woo, Janos Botzheim, and Naoyuki Kubota, System Integration for Cognitive Model of a Robot Partner, IntelligentAutomation & Soft Computing (AUTOSOFT), pp. 1-14, 2017.
5. Azhar Aulia Saputra, Yuichiro Toda, Janos Botzheim, and Naoyuki Kubota, “Neuro-Activity-Based Dynamic Path Planner for 3-DRough Terrain”, IEEE Transactions On Cognitive and Developmental Systems, online published, (DOI: 10.1109/TCDS.2017.2711013, IEEE), 2017.
6. Chang-Shing Lee, Mei-Hui Wang, Chia-Hsiu Kao, Sheng-Chi Yang, Yusuke Nojima, Ryosuke Saga, Nan Shuo, Naoyuki Kubota,FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go, International Journal of Uncertainty, Fuzziness andKnowledge-Based Systems, Vol.25, No.5, pp.677-706, 2017.
7. 大保武慶, 澤山智之, 澤山卓也, 久保田直行, 超高感度振動センサを用いた浴槽内における生体情報計測システム, システム制御情報学会論文誌, 第30巻, 第7号, pp.263-272, Nov. 2017.
8. Nan Shuo, Jinseok Woo, Naoyuki Kubota, A Research on Educational Robot Based Computer Assisted Instruction, CAxTechnologies, issue No. 5, December 2017, ISSN 1314-962.

2016

1. 大保武慶, 久保田直行, ジェスチャ認識のための構造化学習に基づく進化型ファジィニューラルネットワーク, 日本知能情報ファジィ学会誌, Vol. 28, No.3, pp. 627-638, 2016.
2. 大保武慶, 日下純也, 久保田直行, 3次元距離画像センサを用いた進化論的多目的最適化に基づく上肢関節角度推定, システム制御情報学会論文誌, Vol. 29, No.3, pp.114-121, 2016.
3. Takenori Obo, Chu Kiong Loo, Manjeevan Seera and Naoyuki Kubota, Hybrid Evolutionary Neuro-Fuzzy Approach based onMutual Adaptation for Human Gesture Recognition, Applied Soft Computing, vol. 42, pp. 377-389, 2016.
4. Noel Nuo Wi Tay, Janos Botzheim, Naoyuki Kubota, Joint Probabilistic Approach for Real-time Face Recognition withTransfer Learning, Robotics and Autonomous Systems Vol. 75, Part B, pp. 409-421, 2016.
5. Noel Nuo Wi Tay, Azhar Aulia Saputra, Janos Botzheim, Naoyuki Kubota, Service Robot Planning via Solving ConstraintSatisfaction Problem, ROBOMECH Journal, Vol. 3, No. 17, pp. 1-17, 2016.
6. Noel Nuo Wi Tay, Naoyuki Kubota, Janos Botzheim, Building Ontology for Fire, Emergency Planning and Support, E-Journalof Advanced Maintenance, Vol. 8, No. 2, pp. 13-22, 2016.
7. Yuichiro Toda and Naoyuki Kubota, “Evolution Strategy Sampling Consensus for Homography Estimation”, Journal of AdvancedComputational Intelligence and Intelligent Informatics, Vol.20, No.5 pp.788-802, 2016.
8. Wei Hong Chin, Chu Kiong Loo, Yuichiro Toda and Naoyuki Kubota, “An Odometry-free Approach for SimultaneousLocalization and Online Hybrid Map Building”, Frontiers in Robotics and AI, section Sensor Fusion and Machine Perception, November 2016.
9. Takenori Obo, Chu Kiong Loo, Manjeevan Seera, Takahiro Takeda and Naoyuki Kubota, Arm Motion Analysis using GeneticAlgorithm for Rehabilitation and Healthcare, Applied Soft Computing, Vol. 52, pp. 81-92, 2017.
10. Jinseok Woo, Naoyuki Kubota, Human-Robot Interaction Design Using Smart Device Based Robot Partner. International Journal ofArtificial Life Research (IJALR) 6(2), pp. 23-43, 2016.
11. Wei Shiung Liew, Manjeevan Seera, Chu Kiong Loo, Einly Lim, Naoyuki Kubota, Classifying Stress From Heart RateVariability Using Salivary Biomarkers as Reference. IEEE Trans. Neural Netw. Learning Syst. 27(10): 2035-2046 (2016)
12. Azhar Aulia Saputra, Janos Botzheim, Indra Adji Sulistijono, and Naoyuki Kubota, “Biologically Inspired Control Systemfor 3-D Locomotion of a Humanoid Biped Robot”, in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 7, pp. 898-911,July 2016.
13. Noel Nuo Wi Tay, Janos Botzheim, and Naoyuki Kubota, Weighted Constraint Satisfaction for Smart Home Automation andOptimization, Advances in Artificial Intelligence, Volume 2016.

2015

1. Dalai Tang, Bakhtiar Yusuf, Janos Botzheim, Naoyuki Kubota, Chee Seng Chan, A novel multimodal communication frameworkusing robot partner for aging population, Expert Systems with Applications, Vol.42, Issue 9, pp.4540-4555, June, 2015.日下純也, 大保武慶, 久保田直行, 計算論的システムリハビリテーションのための距離画像センサを用いた関節角度推定, システム制御情報学会論文誌, Vol. 28, No.5, pp228-235, 2015.

2014

1. Naoki Masuyama, Chu Kiong Loo and Naoyuki Kubota, Quantum-Inspired Bidirectional Associative Memory for Human-RobotCommunication, International Journal of Humanoid Robotics, Vol. 11, No. 2 (2014) 1450006 (22 pages).
2. Dalai Tang, Janos Botzheim and Naoyuki Kubota, Supervised Learning Based Multi-modal Perception for Robot Partnersusing Smart Phones, Acta Polytechnica Hungarica, Vol.11, No.8, 2014.
3. Dalai Tang, Yuri Yoshihara, Naoyuki Kubota, Visualization of Human-Centric Monitoring System for Elderly People,CAx Technologies, Vol.2, pp.5-13, December, 2014. 
4. 小野彩佳, 禹珍碩, 松尾優成, 日下純也, 和田一義, 久保田直行. ロボットパートナーを用いた動機づけ発話に基づく健康づくり支援システム, SCI’14論文特集号, システム制御情報学会論文誌, No. 4 p.161-171, 2014.

2013

1. Jinseok Woo，Naoyuki Kuobota ,Recognition of Indoor Environment by Robot Partner Using Conversation, Journal of AdvancedComputational Intelligence and Intelligent Informatics, Vol.17, No.5, pp. 753-760, 2013.
2. Yuichiro Toda, and Naiyuki Kubota. Self-localization Based on Multi-resolution Map for Remote Control of Multiple MobileRobots, Industrial Informatics, IEEE Transactions on, Vol. 9, No. 3, pp. 1772-1781, 2013.
3. Honghai Liu, Shengyong Chen, N. Kubota, Intelligent Video Systems andAnalytics: A Survey ,IEEE Trans. on Industrial Informatics, Vol. 9, no. 3, pp. 1222-1233 , Jul 2013.

2012

1. 安田寛, 久保田直行, 動的環境に適応するマルチロボットの動的フォーメーション, 日本知能情報ファジィ学会誌, Vol.24, No.1, pp. 571-581, 2012.
2. 大保武慶, 久保田直行, 階層型学習スパイキングニューラルネットワークを用いた行動推定のためのオンライン学習, 日本知能情報ファジィ学会誌, Vol.24, No.1,pp.592-600, 2012.
3. Janos Botzheim, Yuichiro Toda, Naoyuki Kubota, Bacterial memetic algorithm for offline path planning of mobile robots,Springer, Memetic Computing: Vol. 4, Issue 1, pp.73-86, 2012.
4. Janos Botzheim, Yuichiro Toda, Naoyuki Kubota, Path Planning in Probabilistic Environment by Bacterial Memetic Algorithm,In: T. Watanabe et al. (Eds.): Intelligent Interactive Multimedia: Systems & Services, SIST Vol. 14, pp. 439-448, 2012.
5. Naoyuki Kubota, Yuichiro Toda, Multi-modal Communication for Human-friendly Robot Partners in InformationallyStructured Space, IEEE Transaction on Sytems, Man, and Cybernetics – Part C, Vol.42, No.6, pp.1142-1151, 2012.

2011

1. Akihiro Yorita, Naoyuki Kubota, Cognitive Development in Partner Robots for Information Support to Elderly People, IEEETransactions on Autonomous Mental Development, Volume 3, Issue 1, Mar. 2011, pp64-73.
2. Naoyuki Kubota, Aiko Yaguchi, Decision Making of Robot Partners Basedon Fuzzy Control and Boltzmann Selection, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS), SpecialIssue on Recent Advances in Fuzzy Qualitative Reasoning, Vol.19, Issue 3, pp.529-545, 2011.
3. Naoyuki Kubota, Human-friendly tele-operation for robot partners,Proceeding of the Institution of Mechanical Engineers, Part 1: Journal of Systems and Control Engineering,vol.225, no.3, pp361-336, May 2011.
4. Akihiro Yorita, Naoyuki Kubota, Robot Assisted Instruction in Elementary School Based on Robot Theater, Journal ofRobotics and Mechatronics, Vol.23, No.5, pp. 893-901, 2011.

2010

1. Akihiro Yorita, Naoyuki Kubota, Multi-stage fuzzy evaluation in evolutionaryrobot vision for face detection, Evolutionary Intelligence, Volume 3, Issue 2, pp.67-78, 2010.
2. 久保田直行，矢口愛子，パートナーロボットの環境知覚に基づく発話内容の学習, 日本知能情報ファジィ学会誌, Vol.21, No.5, pp.683-692, 2009.
3. Akihiro Yorita, Naoyuki Kubota, Multi-stage fuzzy evaluation in evolutionary robot vision for face detection,Evolutionary Intelligence, Volume 3, Issue 2, pp.67-78, 2010.
4. 福永征夫, 久保田直行, 教育における設計とシステム思考－未来を開くのは、人間の構成的な能力を蓄えて引き出す、個人と社会の忍耐力－, 日本シミュレーション＆ゲーミング学会全国大会論文報告集, 2010年春号, pp.8-11, 2010.
5. 寄田明宏, 馬場則夫, 山田圀裕, 久保田直行, ロボットエデュテインメントにおける自己実現と自己効力感, 日本シミュレーション＆ゲーミング学会全国大会論文報告集, 2010年春号, pp.18-21, 2010.
6. 小池泰路, 當間嗣治, 清水寛一, 結城修, 寄田明宏, 久保田直行, 山田圀裕, ロボットを使用した理数シミュレーション教育, 日本シミュレーション＆ゲーミング学会全国大会論文報告集, 2010年春号, pp.24-27, 2010.
7. 寄田明宏, 橋本卓弥, 小林宏, 久保田直行, ロボットエデュテインメントのための情報構造化空間, シミュレーション＆ゲーミング学会全国大会論文報告集, 2010年春号, pp.70-73, 2010.
8. Naoyuki Kubota, Takenori Obo, and Honghai Liu, Human Behavior Measurement Based on Sensor Network and Robot Partners,Journal of Advanced Computational Intelligence and intelligent Informatics, Vol.14 No.3, April 2010, pp309-315.
9. Hiroyuki Masuta, Naoyuki Kubota, An Integrated Perceptual System of Different Perceptual Elements for　an IntelligentRobot, Journal of Advanced Computational Intelligence and intelligent Informatics, Vol.14 No.7, Nov. 2010, pp770-775.

2009

1. Yoshikazu MORI, Naoyuki KUBOTA, Kousuke INOUE, Autonomous Behavior Generator for a Companion Robot: SELF, KanseiEngineering International Vol.8 No.1 pp.33-40, 2009．
2. Naoyuki KUBOTA, Honghai LIU, and Yoshikazu MORI, VisualPerception for Emotion-Based Communication of A Partner Robot, Kansei Engineering International Vol.8 No.1,pp. 41-50, 2009．
3. Naoyuki Kubota, Shiho Wakisaka, An Emotional Model Based on Location-Dependent Memory for Partner Robots, Journal ofRobotics and Mechatronics, Vol.21 No.3, 2009.

2008

1. Naoyuki Kubota and Kenichiro Nishida, Structural Adaptation of Prediction-Based Perceptual System, International Journalof Factory Automation, Robotics and Soft Computing, Issue 1, January, pp.19-26, 2008.
2. Hiroyuki Masuta, Naoyuki Kubota, Perception in A Partner Robot Based on Human Visual System, International Journal offactory automation, robotics and soft computing, Issue 2, pp.48-55, April 2008.
3. Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi, Topological Map and Cell Space Map for SLAM of A Mobile Robot, GESTSInternational Transactions on Computer and Engineering, Vol.45, No.3, 2008.
4. Indra Adji Sulistijono, Naoyuki Kubota, Evolutionary Robot Vision for People Tracking Based on Local Clustering The OpenCybernetics & Systemics Journal, Bentham Science Publishers, Volume 2, pp.83-92, 2008.
5. 久保田直行, 脇阪史帆, 小嶋宏幸, 情動モデルを用いたパートナーロボットに関する研究：仮想現実空間の構築と人間との相互作用, 日本知能情報ファジィ学会誌, Vol.20,No.4, pp.449-460, August 15, 2008.
6. Hiroyuki Masuta, Naoyuki kubota, Kazuhiko Taniguchi, The Extraction of HumanWalking by A Partner Robot based on Perceiving-Acting Cycle, GESTS International Transactions on Computer Science and Engineering, vol.48,No.1, pp.25-36, 2008.
7. Naoyuki Kubota, Hiroyuki Kojima, Naohide Aizawa, DalaiTang, Dynamic Topological Visualization Of Change In Perceptual Information Of Partner Robots, International Journal of InformationAcquisition (IJIA),Vol.5,Issue.3 pp.247-258,September,2008.
8. 増田寛之, 久保田直行, 計測情報を用いたパートナーロボットの環境知覚, 日本知能情報ファジィ学会誌, vol.20, No.6, pp.952-962, 2008．
9. Hironobu Sasaki, Naoyuki Kubota, “Computational Intelligence for DistributedBehavior Learning of Multiple Mobile Robots”, GESTS International Transactions on Computer Science and Engineering, Vol.50, No.1,pp.107-118, 2008.

2007

1. Naoyuki Kubota, Kenichiro Nishida, Perceptual Control Based on Prediction for Natural Communication of A Partner Robot, IEEETransactions on Industrial Electronics, Vol.54, No.2, pp.866-877, April, 2007.
2. Indra Adji Sulistijono and Naoyuki Kubota, Human Head Tacking Based on Particle Swarm Optimization and Genetic Algorithm,Journal of Advanced Computational Intelligence and intelligent Informatics, Vol.11 No.6, Jul. 2007, pp.681-687, 2007.
3. 森善一, 上野光郎, 久保田直行, 人と共棲するコンパニオンロボットSELFの行動生成, 日本感性工学会研究論文集, Vol.7, No.2, pp.299-307, 2007.
4. Naoyuki Kubota, Toshiyuki Shimizu, Minoru Abe, Joint Attention Between a HumanBeing and a Partner Robot Based on Computational Intelligence, Journal of Advanced Computational Intelligence and Intelligent Informatics,Vol.11, No.10, pp.1275-1281, 2007.

2006

1. Naoyuki Kubota, Shinichi Kamijima, Intelligent controlfor vision-based soccer robots, International Journal of Knowledge-Based and Intelligent Engineering Systems, Volume 10, Number1, pp.83-91, 2006.
2. 久保田直行, 佐々木裕宣, ファジィスパイキングニューラルネットワークを用いた移動ロボットの行動学習, システム制御情報学会論文誌, Vol.19, No.3, pp.87-95, 2006.
3. 久保田直行, 増田寛之, 小島史男, 福田敏男, 知覚-行為循環に基づく移動ロボットの知覚システムと行為システム, 日本ロボット学会誌, Vol.24, No.4, pp.473-481,2006.
4. Naoyuki Kubota, Visual Perception and Reproduction for Imitative Learning of APartner Robot, WSEAS TRANSACTIONS ON SIGNAL PROCESSING, Issue 5, Vol. 2, pp.726-731, May 2006.
5. Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, Toshio Fukuda, Multiple fuzzy state-value functions for human evaluationthrough interactive trajectory planning of a partner robot, Soft Computing, Volume 10, Number 10, pp.891-901, August 2006.
6. Naoyuki Kubota, Kenichiro Nishida, Cooperative Perceptual Systems for Partner Robots Based on Sensor Network,International Journal of Computer Science and Network Security (IJCSNS), Volume 6, Number 11, pp.19-28, November 2006.

2005

1. Naoyuki Kubota, Computational Intelligence for structured Learning of A Partner Robot Based on Imitation, InformationSciences, No.171, pp.403-429, 2005.5.
2. Setsuo Hashimoto, Fumio Kojima, Naoyuki Kubota, “Evolutionary Computation for Agents in Quasi-Ecosystem”, InternationalJournal of Innovative Computing, Information & Control, Vol. 1, No.3, pp.451-460, 2005.9.
3. Indra Adji Sulistijono, Naoyuki Kubota, Visual Perception for a Partner Robot Based on Computational Intelligence,Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.9 No.6, pp.654-660, 2005.11.17.

2004

1. Naoyuki Kubota, Yosuke Urushizaki, Communication Interface for Human-Robot Partnership, Journal of Robotics andMechatronics, Vol.16, No.5, pp.526-534 (2004).

2003

1. 久保田直行, 三原正雅, 小島史男, 福田敏男, 疑似生態系のための共進化型ロボットの行動獲得, 日本知能情報ファジィ学会誌, 15巻, 1号, pp.88-97, 2003.
2. 橋本節雄, 小島史男, 久保田直行, 知覚に基づくロボティクスのための遺伝的プログラミングを用いた知覚システムの獲得, 日本知能情報ファジィ学会誌, 15巻, 2号,pp.190-198, 2003.
3. Kubota, N., Hisajima, D., Kojima, F., and Fukuda, T., Fuzzy and NeuralComputing for Communication of a Partner Robot, J. of Multi-Valued Logic and Soft Computing, Vol.9, pp.221-239, 2003.
4. Indra Adji Sulistijono, Naoyuki Kubota: A study of Interactive Genetic Algorithm for Human-Friendly Trajectory Generationof a Robot Arm, Journal of Machine Intelligence and Robotic Control (MIROC) Vol. 5 No. 4, Cyber Scientific, pp.129-135, 2003.

2002

1. 能島裕介, 小島史男, 久保田直行, 多目的行動調停に基づく移動ロボットの行動獲得, 機械学会論文集C編, 68巻, 671号, pp.2067-2073, 2002.

2001

1. Kojima, F., Kubota, N., and Hashimoto S., Identification of Crack Profiles Using Genetic Programming and FuzzyInference, Journal of Material Processing Technology, No.108, pp.263-267, 2001.
2. Kubota, N., Morioka, T., Kojima, F., and Fukuda, T., Learning of Mobile Robots Using Perception-Based Genetic Algorithm,Measurement, No.29, 2001, pp.237-248.
3. 久保田直行, 増田寛之, 谷口和彦, 小島史男, 福田敏男, 移動ロボットの多目的行動調停のための学習, 日本機械学会論文集C編, 67巻, 664号, pp.3876-3882, 2001.

2000

1. 久保田直行, 森岡利仁, 小島史男, 福田敏男, 動的環境下における移動ロボットのファジィ制御, 日本ファジィ学会誌, 12巻, 1号, pp.55-63, 2000.
2. Kubota, N., Nojima, Y., Kojima, F., Fukuda, T., and Shibata, S., Path Planningand Control for A Flexible Transfer System, Journal of Robotics and Mechatronics, Vol. 12, No.2, pp.103-109, 2000.
3. 久保田直行, 渡邊和裕, 小島史男, 人間共存型ロボットの軌道生成のための対話型遺伝的アルゴリズム, 日本機械学会論文集C編, 66巻, 647号, pp.2274-2279, 2000.
4. Fukuda, T. and Kubota, N. Computational Intelligence for Mobile Robotic Systems- Decision Making, Learning, and Planning, Journal of Robotics and Mechatronics, Vol.12, No.3, pp.194-201, 2000.
5. 久保田直行, 能島裕介, 小島史男, 福田敏男, 柴田晋, 学習機構を持つ自在搬送システムの最適化, 日本機械学会論文集C編, 66巻, 652号, pp.3970-3976, 2000.
6. Kubota, N., Kojima, F., Hashimoto, S., and Fukuda, T., InformationTransformation by Virus-Evolutionary Genetic Programming, Journal of Artificial Life and Robotics, Vol.4, pp.171-174, 2000.

1999

1. Kubota, N. and Fukuda, T., Ecological Model of Virus-Evolutionary Genetic Algorithm, Fundamenta Infomaticae, Vol.37,No.1, pp.51-70, 1999.
2. 久保田直行, 森岡利仁, 小島史男, 福田敏男, センサリネットワークに基づく移動ロボットの適応行動, 日本機械学会論文集C編, 65巻, 631号, pp.1006-1012, 1999.
3. Fukuda, T. and Kubota, N., An Intelligent Robotic System Based on A FuzzyApproach, Proceedings of The IEEE, Vol.87, No.9, pp.1448-1470, 1999.
4. Kubota, N. and Fukuda, T., Structured Intelligence forSelf-Organizing Manufacturing Systems, Journal of Intelligent Manufacturing, Vol.10, No.2, pp.121-133, 1999.
5. 小島史男, 久保田直行, 谷口勝久, 簡略化ファジィ推論を用いた原子炉蒸気細管内のき裂深さ推定に関する計算手法, 日本機械学会論文集C編, 65巻, 637号,pp.3614-3620, 1999.
6. Kubota, N., Yamaji, S., Kojima, F., and Fukuda, T., Behavior Learning ofHuman-Friendly Robots by Symbolic Teaching, Machine Intelligence and Robotic Control, Cyber Scientific, Vol.1, No.2, pp.79-86, 1999.

1998

1. 久保田直行, 福田敏男, ウイルス進化論に基づく遺伝的アルゴリズムの巡回セールスマン問題への応用, 計測自動制御学会論文集, 34巻, 5号, pp.408-414, 1998.
2. 久保田直行, 荒川丈昌, 福田敏男, 構造化知能をもつロボットマニピュレータのウイルス進化型遺伝的アルゴリズムによる階層型軌道生成計画, 日本機械学会論文集C編, 64巻,625号, pp.3481-3489, 1998.
3. Kubota, N., Arakawa, T., and Fukuda, T., Hierarchical Trajectory Planning ofRedundant Manipulators with Structured Intelligence, Advanced Robotics, Vol.12, No.3, pp.209-225, 1998.
4. Kubota, N., Arakawa, T., and Fukuda, T., Trajectory Planning and Learning of A Redundant Manipulator with StructuredIntelligence, Journal of The Brazilian Computer Society, Vol.4, No.3, pp.14-26, 1998.
5. Kubota, N. and Fukuda, T., Sensory Network for Mobile Robotic Systems with Structured Intelligence, Journal of Robotics andMechatronics, Vol.10, No.4, pp.338-349, 1998.

1997

1. 下島康嗣, 久保田直行, 福田敏男, ウイルス進化論に基づく学習型ファジィコントローラ, 日本機械学会論文集C編, 63巻, 608号, pp.1261-1268, 1997.
2. Kubota, N. and Fukuda, T., Genetic Algorithms with Age Structure, Soft Computing, Vol.1, No.4, pp.155-161, 1997.
3. Arakawa, T., Kubota, N., and Fukuda, T., Trajectory Generation for RedundantManipulator Using Virus-Evolutionary Genetic Algorithm with Subpopulations, Journal of Robotics and Mechatronics, Vol.9, No.6,pp.496-502, 1997.

1996

1. Kubota, N., Fukuda, T., and Shimojima, K., Virus-Evolutionary Genetic Algorithmfor A Self-Organizing Manufacturing System, Computer & Industrial Engineering Journal, Vol.30, No.4, pp.1015-1026, 1996.
2. Kubota, N., Shimojima, K., and Fukuda, T., The Role ofVirus Infection in Virus-Evolutionary Genetic Algorithm, Journal of Applied Mathematics and Computer Science, Vol.6, No.3, pp.415-429,1996.
3. Kubota, N., Fukuda, T., and Shimojima, K., Trajectory Planning of Cellular Manipulator System Using Virus-EvolutionaryGenetic Algorithm, Robotics and Autonomous Systems, Vol.19, pp.85-94, 1996.

1995

1. 久保田直行, 伊達惇, 福田敏男, 遺伝的アルゴリズムにおける年齢構造の導入とその収束性, 計測自動制御学会論文集, 31巻, 5号, pp.560-568, 1995.
2. 久保田直行, 福田敏男, 動的再構成可能ロボットシステムに関する研究（第23報, 自己組織型生産システムにおける最適配置問題への遺伝的アルゴリズムの適用）, 日本機械学会論文集C編, 61巻, 592号, pp.4660-4665, 1995.

2024

1. Azhar Aulia Saputra, Anom Besari Adnan Rachmat, Takenori Obo, Kurnianingsih, Naoyuki Kubota, Concept of Seamless Physical Observation of Human Hand Through Block Design Test, In Proceedings of The 2024 16th IEEE/SICE International Symposium on System Integration, Ha Long, Vietnam, January 8-11th, 2024.
2. Anom Besari Adnan Rachmat, Azhar Aulia Saputra, Takenori Obo, Kurnianingsih, Naoyuki Kubota, Expanding the Integration of Multiscopic Cyber-Physical-Social System with Physical Sensors in Block-Design Test, In Proceedings of The 2024 16th IEEE/SICE International Symposium on System Integration, Ha Long, Vietnam, January 8-11th, 2024.

2023

1. Wei Quan, Zhenyuan Xu, Yi Zhu, Chang Wang, Naoyuki Kubota, Intelligent Centralized Autonomous System for Multiple Mobile Spherical Robots, Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022), pp. 1857-1866, 2023.
2. Chyan Zheng Siow, Wei Hong Chin, Naoyuki Kubota, Evaluating Simple Exercises with a Fuzzy SystemBased on Human Skeleton Poses, IEEE-FUZZ 2023, August 13 – 17, 2023.
3. Akihiro Yorita, Simon Egerton, Carina Chan and Naoyuki Kubota, Chatbot Persona Selection Methodology for Emotional Support, In Proceedings of 62nd Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp.333-338, September 6-9, 2023. Tsu City, Japan.
4. Chyan Zheng Siow, WenBang Dou, Qingwei Song, Franz Chuquirachi, Takenori Obo, Naoyuki Kubota, Use K-Means-Generated Nodes to Distinguish Learned From Non-Learned Exercises, IECON 2023, October 16 – 19, 2023.
5. Qingwei Song, Naoyuki Kubota, Yuqi Zhang, Research on Estimation of Kyphosis Degree Based on Monocular Camera for Achieving Furniture’s Adaptive Height Adjustment, IWACIII 2023, November 3 – 6, 2023.
6. Adnan Rachmat Anom Besari, Azhar Aulia Saputra, Takenori Obo, Nia Kurnianingsih, Naoyuki Kubota, Integrated Multiscopic CPSS for Physical and Cognitive Measurement in an Independent Block Design Test, In Proceedings of International Conference on Machine Learning and Cybernetics (ICMLC) 2023, Adelaide, Australia, 9-11 July, 2023.
7. Takenori Obo, Rino Kaburagi, Naoyuki Kubota, Multilayer Growing Neural Gas for Text-Mining of Nursing Care in Computational Systems Care, In Proceedings of 2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2023), Songdo Incheon, Korea, August 13 – 17, 2023.
8. Masaya Shoji, Azhar Aulia Saputra, Takenori Obo, Naoyuki Kubota, Perceptual System of a Mobile Robot for Autonomous Adaptation to Environmental Changes, In Proceedings of 2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2023), Songdo Incheon, Korea, August 13 – 17, 2023.
9. Masaya Shoji, Takenori Obo, Naoyuki Kubota, Add-if-Silent Rule-Based Growing Neural Gas for High-Density Topological Structure of Unknown Objects, In Proceedings of the 32nd IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2023), Busan, South Korea, August 28 – 31, 2023.
10. Yuqi Zhang, Wenbang Dou, Chyan Zheng Siow, Takenori Obo, Naoyuki Kubota, Posture Recognition Approach for Elderly Health Management: Simulation Data-based Feature Engineering, In Proceedings of SICE Annual Conference 2023, Mie, Japan, pp. xxxx-xxxx, September 6-9, 2023.
11. Kunikazu Hamada, Takenori Obo, Naoyuki Kubota, Recurrent Neural Network for Evaluating Rhythmic Movement during Radio Calisthenics Using A Markerless Motion Capture System Implemented on Smart Devices, In Proceedings of SICE Annual Conference 2023, Mie, Japan, pp. 327-332, September 6-9, 2023.
12. Takuro Sekiguchi, Takenori Obo, Naoyuki Kubota, Tadamitsu Matsuda, LSTM-based Motion Trajectory Prediction in a Perceptual-Action Cycle System, In Proceedings of 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hyatt Maui, Hawaii, USA, pp. 2820-2825, October 1-4, 2023.
13. Masatoshi Eguchi, Takenori Obo, Naoyuki Kubota, Stepwise Search Transition-based Hybrid Optimization for 3D Pose Estimation, In Proceedings of 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hyatt Maui, Hawaii, USA, pp. 2802-2807, October 1-4, 2023.
14. Masaya Shoji, Azhar Aulia Saputra, Takenori Obo, Naoyuki Kubota, Add-if-Silent Rule-Based Growing Neural Gas with Amount of Movement for High-Density Topological Structure Generation of Dynamic Object, In Proceedings of 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Hyatt Maui, Hawaii, USA, pp. 3040-3047, October 1-4, 2023.
15. Yuqi Zhang, Qingwei Song, Takenori Obo, Naoyuki Kubota, Cognitive Impairment Detection System based on Image Segmentation and Artificial Intelligence Art, In Proceedings of The 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2023), Beijing, China, pp. 105-116, November 3 – 6, 2023.

2022

1. Masaya Shoji, Kohei Oshio, Wei Hong Chin, Azhar Aulia Saputra, Naoyuki Kubota, A Spatial Attention-Based Sensory Network for Fuzzy Controller of Mobile Robot in Dynamic Environments, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), July 18 – 23, 2022.
2. Takenori Obo, Kazuma Takizawa, Gesture Learning Based on A Topological Approach for Human-Robot Interaction, In Proceedings of the 2022 IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, July 18 – 23, 2022.
3. Qingwei Song, Naoyuki Kubota, Yuqi Zhang, Posture Recognition for Human-robot Interaction Based on High Speed Camera, In 2022 World Automation Congress (WAC) (pp. 419-423), IEEE, October,
4. Fernando Ardilla, Azhar Aulia Saputra, Adnan Rachmat Anom Besari, Doteguchi Naoki, Oshio Kohei, Takenori Obo, Naoyuki Kubota, Topological Twin for Mobility Support Robots, IEEE 8th World Forum on Internet of Things, October 26 – November 11, 2022.
5. Rino Kaburagi, Takenori Obo, Naoyuki Kubota, Yoichiro Maeda, Text Analysis using GNG for Support of Nursing Care, 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2022), November 29 – December 2
6. Kohei Oshio, Makoto Tsujimoto, Kazuhiko Taniguchi, Takenori Obo, Naoyuki Kubota, 2D-SLAM of Illuminance Measurement Robot using 3D-LiDAR and IMU on Slopes, 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2022), November 29 – December 2, 2022.
7. Chyan Zheng Siow, Wenbang Dou, Wei Hong Chin, Naoyuki Kubota, Graph Neural Network for Human Body Orientation Estimation by 2D Skeleton, in The 30th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence, September 21-22, 2022, pp. 138–142.
8. Hasan Imaduddin, Yani Mohamad, Azhar Aulia Saputra, Naoyuki Kubota, Deep Neural Networks using Keras for Reinforcement Learning Problem, The 30th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence (FAN 2022), September 21-22, 2022, Kobe, Japan.
9. Alfin Junaedy, Hiroyuki Masuta, Naoyuki Kubota, Kei Sawai, Tatsuo Motoyoshi, Noboru Takagi, Object Extraction Method for Mobile Robots using Fast Growing Neural Gas, 2022 IEEE Symposium Series on Computational Intelligence (SSCI), pp.962-969, 2022.
10. Naoki Doteguchi, Naoyuki Kubota, Topological Mapping for Event-based camera using Fast-GNG and SNN, 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 984-989, 2022.
11. Kodai Kaneko, Yuta Kusakari, Shoko Oikawa, Yasuhiro Matsui, Naoyuki Kubota, Effect of Pedestrian Information Using HMI on Driving Characteristics, 2022 IEEE International Conference on Systems, Man, and Cybernetics, pp.1600-1605, 2022.
12. Fernando Ardilla, Azhar Aulia Saputra, Naoyuki Kubota, Batch Learning Growing Neural Gas for Sequential Point Cloud Processing, 2022 IEEE International Conference on Systems, Man, and Cybernetics, pp. 1766-1771, 2022.
13. Azhar Aulia Saputra, Adnan Rachmat Anom Besari, Naoyuki Kubota, Human Joint Skeleton Tracking Using Multiple Kinect Azure, 2022 International Electronics Symposium (IES), pp.430-435, 2022.
14. Azhar Aulia Saputra, Chin Wei Hong, Mohamad Yani, Fernando Ardilla, Adnan Rachmat Anom Besari, Yuichiro Toda, Naoyuki Kubota, Topological based Environmental Reconstruction for Efficient Multi-Level Control of Robot Locomotion, 2022 International Electronics Symposium (IES), 491-496, 2022.
15. Wei Hong Chin, Wenbang Dou, Naoyuki Kubota, Chu Kiong Loo, A Robust Growing Memory Network for Lifelong Learning of Intelligent Agents, 2022 International Joint Conference on Neural Networks (IJCNN), 2022.

2021

1. Kodai Kaneko, Naoyuki Kubota, Underwater Acoustic Positioning System using Ultrasonic Waves for Diving Support, World Automation Congress 2021, August 1-5, 2021.
2. Wen Bang Dou, Cheng Hui Liu, Wei Hong Chin, Naoyuki Kubota, Intelligent Caputuring System for Beast Damage Control, World Automation Congress 2021, August 1-5, 2021.
3. Cheng Tang, Ryota Inoue, WeiHong Chin, Naoyuki Kubota, Development of an inspection system for waterway tunnels based on visual SLAM by an autonomous water robot, 2021 World Automation Congress (WAC), pp. 125-130, August 2-5, 2021.
4. Yuta Kusakari, Shoko Oikawa, Yasuhiro Matsui, Naoyuki Kubota, Effect of Human–Machine Interface of a Vehicle on Right-Turn Maneuver at Intersections using a Driving Simulator, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC2021), pp.1607-1612, Melbourne, Australia (Online), October 17-20, 2021.
5. Naoki Doteguchi, Naoyuki Kubota, Topological Tracking for Mobility Support Robots Based on Multi-scale Batch-Learning Growing Neural Gas, 10th International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications (EAI MOBILWARE 2021), Online, October 22, 2021.
6. Naoyuki Kubota, Naoki Doteguchi, Shuai Shao, Human Behavior Estimation Using Micro-vibration Sensor Based on Deep Boltzmann Machine, 10^th International Conference on MOBILe Wireless MiddleWARE, Operating Systems,
   and Applications (EAI MOBILWARE 2021), Online, October 22-23, 2021.
7. Kohei Oshio, Kodai Kaneko, Naoyuki Kubota, Multi-scopic Simulation for Human-robot Interactions Based on Multi-objective Behavior Coordination, The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2021), October 31-November 3, 2021.
8. Mohamad Yani, Naoyuki Kubota, Deep Convolutional Q-Networks with Genetic Algorithm for Reinforcement Learning Problem, The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2021), October 31-November 3, 2021.
9. Quan Wei, Naoyuki Kubota, Multi-view Evolutionary Strategy Consensus based Pose, The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2021), October 31-November 3, 2021.
10. Mutsumi Iwasa, Yuichiro Toda, Naoyuki Kubota, Multi-scale Batch-Learning Growing Neural Gas for Topological Feature Extraction in Navigation of Mobility Support Robots, The 7th International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2021), October 31-November 3, 2021.
11. Mohamad Yani, Fernando Ardilla, Azhar Aulia Saputra, Naoyuki Kubota, Gradient-Free Deep Q-Networks Reinforcement Learning: Benchmark and Evaluation, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), Online, December 4-7, 2021.
12. Chenghui Liu, Fernando Ardilla, Yani Mohamad, Naoyuki Kubota, Topological Feature Extraction based on Multi-scale Batch-learning Growing Neural Gas for Robot Partners, 32nd 2021 International Symposium on Micro-NanoMechatronics and Human Science (MHS 2021), Online, December 5, 2021.

2020

1. Wen Bang Dou, Wei Hong Chin, Naoyuki Kubota., Hand gesture communication using deep learning based on relevance theory, 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020, 2020.
2. Akihiro Yorita, Simon Egerton, Carina Chan, Naoyuki Kubota, Chatbot for Peer Support Realization based on Mutual Care 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 1601-1606, 2020.
3. Azhar Aulia Saputra, Auke Jan Ijspeert, Naoyuki Kubota, A neural primitive model with sensorimotor coordination for dynamic quadruped locomotion with malfunction compensation, IEEE International Conference on Intelligent Robots and Systems, pp. 3783-3788, 2020.
4. Chang-Shing Lee, Yi-Lin Tsai, Mei-Hui Wang, Naoyuki Kubota, AI-FML Agent with Patch Learning Mechanism for Robotic Game of Go Application, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3708-3713, October 2020.
5. Sundus Abrar, Chu Kiong Loo, Nayuki Kubota, Ghalib Ahmed Tahir, A Personalised Blood Pressure Prediction System using Gaussian Mixture Regression and Online Recurrent Extreme Learning Machine, 2020 International Symposium on Community-Centric Systems (CcS), 2020.
6. Friska Oktaviana, Melyana Nurul Widyawati, Kurnianingsih Kurnianingsih, Naoyuki Kubota, Early Detection of the Risk of Stunting in Pregnant Women and Its Recommendations, 2020 International Symposium on Community-Centric Systems (CcS), 2020.
7. Kurnianingsih, Anindya Wirasatriya, Lutfan Lazuardi, Naoyuki Kubota, Nawi Ng, IOD and ENSO-Related Time Series Variability and Forecasting of Dengue and Malaria Incidence in Indonesia, 2020 International Symposium on Community-Centric Systems (CcS), 2020.
8. Oknalita Simbolon, Melyana Nurul Widyawati, Kurnianingsih, Naoyuki Kubota, Nawi Ng, Predicting the Risk of Preeclampsia using Soft Voting-based Ensemble and Its Recommendation, 2020 International Symposium on Community-Centric Systems (CcS), 2020.
9. Azhar Aulia Saputra, Chin Wei Hong, Auke Jan Ijspeert, Naoyuki Kubota, A Muscle-Reflex Model of Forelimb and Hindlimb of Felidae Family of Animal with Dynamic Pattern Formation Stimuli, 2020 Proceedings of the International Joint Conference on Neural Networks, 2020.
10. Wei Hong Chin, Noel Nuo Wi Tay, Naoyuki Kubota, Chu Kiong Loo, A Lightweight Neural-Net with Assistive Mobile Robot for Human Fall Detection System, 2020 Proceedings of the International Joint Conference on Neural Networks, 2020.
11. Kurnianingsih, Nur Fajri Al Faridi Hadi, Eni Dwi Wardihani, Naoyuki Kubota, Wei Hong Chin, Ensemble learning based on soft voting for detecting methamphetamine in urine, 2020 IEEE International Conference on Fuzzy Systems, July 2020.
12. Chang-Shing Lee, Yi-Lin Tsai, Mei-Hui Wang, Wen-Kai Kuan, Zong-Han Ciou, Naoyuki Kubota, AI-FML agent for robotic game of go and AIoT real-world co-learning applications, 2020 IEEE International Conference on Fuzzy Systems, July 2020.
13. Wei Quan, Zhang haibin, Naoyuki Kubota, Elderly Health Promotion using Multiple Ball-robots based on Evolutionary Robot, SOSE 2020 – IEEE 15th International Conference of System of Systems Engineering, Proceedings, pp. 481-486, June 2-4, 2020.
14. Jinseok Woo, Seira Inoue, Yasuhiro Ohyama, Naoyuki Kubota, Physical contact interaction based on touch sensory information for robot partners, 13^th International Conference on Human System Interaction (HIS 2020), pp.100-105, Online, June 6-8, 2020.
15. Shion Yamamoto, Naoyuki Kubota, Development of Smart Device Interlocked Robot Partners for Information Support and Smart Recommendation, WCCI2020, F-22331, Online, July 20-24, 2020.
16. Shion Yamamoto, Naoyuki Kubota, Development of smart device interlocked robot partners for information support and smart recommendation, 2020 IEEE International Conference on Fuzzy Systems, July 2020.
17. Kohei Yamamoto, Shuai Shao, Naoyuki Kubota, Development of a robot partner system to support the elderly based on sensor data, 2020 IEEE International Conference on Fuzzy Systems, July 19-24, 2020.
18. Jinseok Woo, Yasuhiro Ohyama, Naoyuki Kubota, Design Considerations for Robot Partner System based on Modular Structure, 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS 2020), pp. 143-148, Hachijo Island, Tokyo, Japan, Online, September 5-7, 2020.
19. Yani Mohamad, Adnan Rachmat Anom Besari, Nao Yamada, Naoyuki Kubota, Ecological-Inspired System Design for Safety Manipulation Strategy in Home-care Robot, The International Symposium on Community-centric Systems 2020(CcS 2020), Tokyo, Japan, September 23-26, 2020.
20. Yuta Kusakari, Wei Hong Chin, Naoyuki Kubota, A Deep Neural Model for Pedestrians Detection with Danger Estimation, International Symposium on Community-centric Systems (CcS 2020), Tokyo, Japan, September 23-26, 2020.
21. Jinseok Woo, Yasuhiro Ohyama, Naoyuki Kubota, Development Direction of Human Coexistence Robot Partner based on Smart Device, The 13th China-Japan International Workshop on Information Technology and Control Applications (ITCA2020), Enshi, Hubei, China, Online, September 25-29, 2020.
22. Chang-Shing Lee, Mei-Hui Wang, Wen-Kai Kuan,  Zong-Han Ciou, Yi-Lin Tsai, Wei-Shan Chang, Lian-Chao Li, Naoyuki Kubota, Tzong-Xiang Huang, Eri Sato-Shimokawara, Toru Yamaguchi, A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction, 2020 International Symposium on Community-centric Systems (CcS), IEEE, September 2020.
23. Kenya Umetsu, Simon Egerton, Wei Hong Chin, Naoyuki Kubota, Body-Sharing Multi-Robot System in Robot Theater towards Social Implementation, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC2020), pp.3254-3259, Toronto, Canada, October 11-14, 2020.
24. Nao Yamada, Yani Mohamad, Naoyuki Kubota, Interactive adaptation of Hand-over Motion by a Robot Partner for Comfort of receiving, 2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE, December 1-4, 2020.
25. Cheng Tang, Ryota Inoue, Oshio Kohei, Kubota Naoyuki, Tsujimoto Makoto, Taniguchi Kazuhiko, Automation of Illuminance measurement in a large scene by an autonomous Mobile Robot, 2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE, pp. 1893-1898, December 15-17, 2020.
26. Jinseok Woo, Yuta Abe, Yasuhiro Ohyama, Naoyuki Kubota, Design and Usage Support System of Robot Partners based on a User-centric Modular Structure, The International Symposium on Community-centric Systems (CcS 2020), pp.1-6, Hachioji, Tokyo, Japan, Online, December 23-26, 2020.

2019

1. Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, and Yiping Liu, “Topological Clusteringvia Adaptive Resonance Theory with Information Theoretic Learning,” IEEE Access, vol. 7, no. 1, pp. 76920-76936, June 2019.
2. Tomoyuki Arai, Yuichiro Toda, Naoyuki Kubota, “Behavior acquisition on a Mobile Robot using Reinforcement Learningwith continuous state space”, International Conference on 2019 Machine Learning and Cybernetics and International Conference on 2019 WaveletAnalysis and Pattern Recognition (ICMLC & ICWAPR 2019), Kobe Convention Center, Kobe, Japan, July 7-10, 2019.
3. Toshiya Arakawa, Naoyuki Kubota, “Development of Guide Robot that Leads and Considers Following User”, InternationalConference on Fuzzy System (FUZZ-IEEE2019), New Orleans, USA, June 23-26, 2019.
4. Wei Hong chin, Naoyuki Kubota, Chu Kiong Loo, Zhaojie Ju, Honghai Lou, “Spatial Map Learning with Self-Organizing AdaptiveRecurrent Incremental Network”, in 2019 International Joint Conference on Neural Networks, IJCNN 2019, Budapest, Hungary.
5. Ryosuke Tanaka, Jinseok Woo and Naoyuki Kubota, “Action Acquisition Method for Constructing Cognitive Development System Through Instructed Learning”, The 2019 International Joint Conference on Neural Networks, Budapest Hungary, July 14-19, 2019.
6. Ryota Inoue, Tomoyuki Arai, Toshiya Arakawa, Makoto Tsujimoto, Kazuhiko Taniguchi, Naoyuki Kubota, “Intelligent control of illuminance measurement robot based on multi-sensor fusion”, Proceedings of International Conference on Engineering, Sience, and Industrial Applications, pp.59-64, Tokyo University of Science, Tokyo, Japan, August 22-24, 2019.
7. Shuai Shao, Jinsoek Woo, Kouhei Yamamoto, Naoyuki Kubota, “Elderly Health Care System Based on High Precision Vibration Sensor”, the International Conference on Machine Learning and Cybernetics 2019, Kobe, Japan, July 7-10, 2019.
8. Shuai Shao, Naoyuki Kubota, “A Fuzzy Spiking Neural Network with State Transition Diagram for Behavior Estimation in Elderly Health Care System”, IEEE Systems, Man, and Cybernetics Society 2019, pp3087-3092, Bari, Italy, October 6-9, 2019.
9. Shuai Shao, Naoyuki Kubota, Kazutaka Hotta, Takuya Sawayama, “Bathroom Monitoring System Based on High Precision Vibration Sensor”, The 6th InternationalWorkshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII2019), Chengdu, China, Nov. 1-5, 2019.
10. Ryota Inoue, Tomoyuki Arai, Yuichiro Toda, Makoto Tsujimoto, Kazuhiko Taniguchi, Naoyuki Kubota, “Intelligent control for illuminance measurement by an Autonomous Mobile Robot”, Proceedings of International Conference on Advanced Robotics and itsSocial Impacts, pp.270-274, Beijing Institute of Technology, Beijing, China, October 31- November 2nd, 2019.
11. Lianchao Li, Shuai Shao, Naoyuki Kubota, Chang-Shing Lee, “A Human-Friendly Communication Robot for Public Service Based on iBeacon Technology”, 2019 International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2019), Kaohsiung, Taiwan, November 21-23, 2019.
12. Jinseok Woo, Yasuhiro Ohyama, Naoyuki Kubota. “Interactive Conversation System based on Interaction Content Design for Robot Partners.”, The 20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineering (ISIS 2019 & ICBAKE 2019), pp.435-440, Jeju, Korea, December 4-7, 2019.
13. Mohamad Yani, Weihong Chin, Naoyuki Kubota, “Deep Learning-Based 6-DoF Object Pose Estimation, Critical Review, and Recent Trends,” The 20th International Symposium on Advanced Intelligent Systems and2019 International Conference on Biometrics and Kansei Engineering, pp.409-416, Jeju Island, South Korea, 4-7 December 2019.
14. Kouhei Yamamoto, Shuai Shao, Naoyuki Kubota, “Heart Rate Measurement Using Air Pressure Sensor for Elderly Caring System”, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pp.1440-1444, Xiamen China, December 6-9, 2019.
15. Kenya Umetsu, Jinseok Woo, Naoyuki Kubota, ”Effects of the Audience Robot on Robot Interactive Theater Considering the State of Audiences”, 2019 IEEE Symposium Series on Computational Intelligence (SSCI), pp.1430-1434, Xiamen China, December 6-9, 2019.

2018

1. Chang-Shing Lee, Mei-Hui Wang, Tzong-Xiang Huang, Li-Chung Chen, Yung-Ching Huang, Sheng-Chi Yang, Chien-Hsun Tseng,Pi-Hsia Hung, and Naoyuki Kubota, “Ontology-based fuzzy markup language agent for student and robot co-learning,” 2018 World Congress onComputational Intelligence (IEEE WCCI 2018), Rio de Janeiro, Brazil, Jul. 8-13, 2018.
2. Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko, Naoyuki Kubota, Lu-An Lin, Shinya Kitaoka, Yu-Te Wang, and Shun-Feng Su, “Humanand smart machine co-learning: brain-computer interaction at the 2017 IEEE International Conference on Systems, Man, and Cybernetics,” IEEESystems, Man, and Cybernetics Magazine, 2018. (DOI: 10.1109/MSMC.2017.2785441).
3. Wei Quan, Yuichiro Toda, Jinseok Woo and Naoyuki Kubota. “Integrated Robotic Control System for Public Nursing”, WorldAutomation Congress 2018 (WAC 2018), pp1-5, Washington, USA, June 3-6, 2018.
4. Kunpei Kato, Ryosuke Tanaka, Shion Yamamoto, Kouhei Yamamoto and Naoyuki Kubota, ”Proposal of Perceptual System forTemporal Learning”, The 2018 Conference on Artificial Life, Tokyo,Japan,July 23-27, 2018.
5. Sasuga Kitai, Yuichiro Toda, Naoyuki Takesue, Kazuyoshi Wada and Naoyuki Kubota, “Intelligent Control of VariableRanging Sensor Array Using Multi-Objective Behavior Coordination”, Proc. of 2018 ICIRA, The 11th International Conference on IntelligentRobotics and Applications, LNAI 10984, pp. 393-403, Newcastle, Australia, August 9-11,2018.
6. Wei Quan, Yuichiro Toda, Jinseok Woo and Naoyuki Kubota. “Integrated Robotic Control System for Public Nursing”, 13thInternational Symposium Operations Research and its Applications (ISORA 2018), Guiyang, China, August 22-26, 2018.
7. Toshiya Arakawa，Jinseok Woo，Naoyuki Kubota，”Control a Mobile Robot for Guide a Person Cosidering Each Specific inductionDistance”，12th France-Japan and 10th Europe-Asia Congress on Mecatronics, JD-002119，Mie University，September 10-12,2018.
8. F. Kojima, N. Kubota, and T. Takagi, “Identification of Defect Profiles for Steel Samples using EMAT based MeasurementSystem,”Proc. of ENDE2018 Workshop, the Detroit Marriott at the Renaissance Center, Downtown Detroit, Michigan, U.S.A, September 9-13,2018.
9. Azhar Aulia Saputra, Wei Hong Chin, Janos Botzheim, Naoyuki Kubota, “Evolving a Sensorimotor Interconnection for DynamicQuadruped Robot Locomotion Behavior” International Conference on Intelligent Robots and Systems (IROS2018), Madrid, Spain, October 1-5,2018.
10. Azhar Aulia Saputra, Jinseok Woo, Naoyuki Kubota, “Optimization Model of Fast and Untrapped Neural Based InverseKinematic: Implementation on Multiple-links Planar Robot”, The 2018 IEEE International Conference on Systems, Man, and Cybernetics(SMC2018), Miyazaki, October 7-10, 2018.
11. Kunpei Kato, Wei Hong Chin, Yuichiro Toda, Naoyuki Kubota, “A multi-channel episodic memory model for human actionlearning and recognition”, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018), Miyazaki, Japan, October 7-10,2018.
12. Shuai Shao, Nan Shuo, Naoyuki Kubota,”A Fuzzy Spiking Neural Network for Behavior Estimation by Multiple EnvironmentalSensors”, IEEE International Conference on Systems, Man, and Cybernetics (SMC2018), TuAM-R05, Miyazaki, Japan, October 7-10,2018.
13. Ryosuke Tanaka, Jinseok Woo and Naoyuki Kubota, “Cognitive Environment System by Joint Attention Behaviors andRelevance Theory for Robot Partners”, IEEE International Conference on Systems, Man, and, Cybernetics,Miyazaki Japan,Octorber 7-10, 2018.
14. Azhar Aulia Saputra, Naoyuki Kubota, “Synthesis of Neural Oscillator based Dynamic Rhythmic Generation in Quadruped RobotLocomotion”, Energy Sustainovation and Techno-Intelligence for Realizing Industrial Revolution 4.0 (IES2018), Bali, Indonesia, October29-30, 2018.
15. Wei Hong Chin, Azhar Aulia Saputra, Naoyuki Kubota, “An Incremental Episodic Memory Framework for Robot Sensorimotor MapBuilding” Energy Sustainovation and Techno-Intelligence for Realizing Industrial Revolution 4.0 (IES2018), Bali, Indonesia, October 29-30,2018.
16. Nan Shuo, Shuai Shao, Naoyuki Kubota, “Physical Exercise with Ent ertainment Robotic Ball”, Proc (CD-ROM) of The 8thInternational Symposium on Computational Intelligence and Industrial Applications (ISCIIA2018), Tengzhou, Shandong, China, November 2-6,2018.
17. Shuai Shao, Nan Shuo, Naoyuki Kubota,”An iBeacon Indoor Positioning System based on Multi-sensor Fusion”, 10thInternational Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems (SCIS& ISIS 2018), Toyama, Japan, December 5-8, 2018.
18. Tomoyuki  Arai, Yuichiro  Toda, Mutsumi  Iwasa, Shuai Shao, Ryuta  Tonomura, Naoyuki Kubota, “Reinforcement  Learning  based  on  State  Space  Modelusing  Growing  Neural Gas  for  a  Mobile  Robot”, 10th International Conference on Soft Computing and Intelligent Systems and 19thInternational Symposium on Advanced Intelligent Systems (SCIS & ISIS 2018), Toyama, Japan, December 5-8, 2018.
19. Mutsumi Iwasa, Yuichiro Toda, Naoyuki Kubota, “The return way path planning of an autonomous mobile robot consideringtraveling risk of the road”, 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium onAdvanced Intelligent Systems (SCIS & ISIS 2018), Toyama International Conference Center, Japan, December 5-8, 2018.
20. Ryuta Tonomura, Tadamitsu Matuda, Atushi Manji, Naoyuki Kubota, Takenori Obo, “Rehabilitation Support System forAttentional Deficits based on Trail-Making Test”, 10th International Conference on Soft Computing and Intelligent Systems and 19thInternational Symposium on Advanced Intelligent Systems (SCIS & ISIS 2018), Toyama, Japan, December 5-8, 2018.
21. F. Kojima and N. Kubota, “Void Detection of Steel Products for Process Monitoring System sing Electromagnetic AcousticTransducer”, Electromagnetic Non-Destructive Evaluation (XXI), D. Lesselier and C. Reboud (Eds.), IOS Press, Amsterdam, (2018) pp. 112-119, doi:10.3233/978-1-61499-836-5-112.

2017

1. Jinseok Woo, Naoyuki Kubota, Interaction Content Design for Information Support based on Robot Partner, The 10thInternational Conference on Human System Interactions (HSI 2017), Ulsan, Republic of Korea, pp. 35-40, april 17, 2017.
2. Wei Hong Chin, Azhar Aulia Saputra, and Naoyuki Kubota, “A neural-based network for on-line topological map buildingand dynamic path planning”, in Proc of IEEE International Joint Conference on Neural Networks (IJCNN 2017), pp. 2805-2810, Alaska,United States, May 14-19, 2017.
3. Julia Szeles, Naoyuki Kubota, Jinseok Woo, Weather Forecast Support System Implemented into Robot Partner for SupportingElderly People Using Fuzzy Logic, Joint 17th World Congress of International Fuzzy Systems Association and 9th InternationalConference on Soft Computing and Intelligent Systems (IFSA-SCIS 2017), Otsu, Japan, 5 pages, june 27-30, 2017.
4. Chang-Shing Lee, Mei-Hui Wang, Chia-Hsiu Kao, Sheng-Chi Yang, Yusuke Nojima, Ryosuke Saga, Nan Shuo, Naoyuki Kubota,“FML-based Prediction Agent and Its Application to Game of Go,” Joint 17th World Congress of International Fuzzy Systems Association and 9thInternational Conference on Soft Computing and Intelligent Systems (IFSA-SCIS 2017), Otsu, Japan, Jun. 27-30, 2017.
5. Shuai Shao, Noel Tay, Nan Shuo, Naoyuki Kubota, Optimal Placement for Indoor Positioning and Monitoring System inPublic Area, ICMLC & ICWAPR 2017 (The 16th International Conference on Machine Learning and Cybernetics and the 14th InternationalConference on Wavelet Analysis and Pattern Recognition), Ningbo, China, July 9-12, 2017.
6. Chang-Shing Lee, Mei-Hui Wang, Shih-Ya Lai, Nan Shuo, Naoyuki Kubota, “FML-based Linguistic Classification Agent for SocialMedia Application,” 2017 IEEE International Conference on Fuzzy System (FUZZ-IEEE 2017), Naples, Italy, Jul. 9-12, 2017.
7. Chang-Shing Lee, Mei-Hui Wang, Chang-Yong Wang, Nan Shuo, Naoyuki Kubota, “FML-based Robotic Summarization Agent and ItsApplication,” 2017 IEEE International Conference on Fuzzy System (FUZZ-IEEE 2017), Naples, Italy, Jul. 9-12, 2017.
8. Wei Quan, Naoyuki Kubota, “Evolutionary people tracking for robot partner of information service in public areas”, in9th International Conference on Intelligent Rbotics and Appications, LNCS(ICIRA2017), volume 10463, Wuhan, China, august 15-18, 2017.
9. Takenori Obo, Chiaki Kasuya, Siqi Sun, Naoyuki Kubota, Human-Robot Interaction Based on Cognitive Bias to IncreaseMotivation for Daily Exercise, 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC2017), Banff, Canada, October 5-8,2017 (Accepted).
10. Jinseok Woo, Ryosuke Tanaka, Naoyuki Kubota, “A Robot Partner Interaction System based on Persona with Modular CognitiveModel”, The 18th International Symposium on Advanced Intelligent Systems (ISIS2017), Daegu, Republic of Korea, pp. 51-58, October 11-14,2017.
11. Nan Shuo, Jinseok Woo, Naoyuki Kubota, Using Communication Robot in Education: A Challenge on HRI Based TeamTeaching System, Proc (CD-ROM) of International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII2013),Bejing, China, November 2-5, 2017.
12. Mutsumi Iwasa, Yuichiro Toda, Azhar Aulia Saputra and Naoyuki Kubota, “Path planning of the autonomous mobile robot by usingreal-time rolling risk estimation with fuzzy inference”, 2017 IEEE Symposium on Robotic Intelligence in Informationally Structured Space(RiiSS 2017), pp. 1441-1446, Hawaii USA, November 27-December 1, 2017.
13. Azhar Aulia Saputra, Naoyuki Kubota, “Centered Learning Model in Omni-directional Controller of Neural OscillatorBased Biped Locomotion”, 2017 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS 2017), pp. 3425-3432, HawaiiUSA, November 27-December 1, 2017.
14. Yuichiro Toda, Azhar Aulia Saputra, and Naoyuki Kubota, Simultaneous Localization and Mapping based on TopologicalApproaches, 2017 Japan-Korea Workshop on Robotics and Information Technology for Better Quality of Life, Institute of Industrial Science,The University of Tokyo, Tokyo, Japan December 1-December 3, 2017.

2016

1. Wei Hong Chin, Chu Kiong Loo, Manjeevan Seera, Naoyuki Kubota, and Yuichiro Toda, “Multi-channel Bayesian AdaptiveResonance Associate Memory for on-line topological map building” Appl. Soft Comput. 38, January 2016, pp.269-280, 査読あり.
2. Wei Zheng, Yuri Yoshihara, Noel Nuo Wi Tay, Dalai Tang, Naoyuki Kubota, Energy-efficient Activity Recognition onSmartphone, The 3rd International Conference on Computing Measurement Control and Sensor Network, May 20-22, 2016.
3. Ivan Petrov Ucherdzhiev, Noel Nuo Wi Tay, Naoyuki Kubota, Configurable Sensor Node for Sensor Networks, 11th Fance-JapanCongress on Mechatronics, June 15-17, 2016.
4. Julia Szeles, Naoyuki Kubota, Location monitoring support application in smart phones for elderly people using SuitableInterface Design.The name of the academic meeting: ICIRA 2016.place Tokyo, Japan 2016.    
5. Nuo Wi Noel Tay, Janos Botzheim, Naoyuki Kubota, “Joint probabilistic approach for real-time face recognition withtransfer learning”, Robotics and Autonomous Systems 75: 409-421 (2016)
6. Azhar Aulia Saputra, Janos Botzheim, and Naoyuki Kubota, “Walking Speed Control in Human Behavior Inspired GaitGeneration System for Biped Robot”, in Proc. of 2016 IEEE Congress on Evolutionary Computation (CEC). July 2016. pp. 4895-4902, Vancouver,Canada.
7. Chin Wei Hong, Loo Chu Kiong, Kubota Naoyuki, “Topological Gaussian ARTs with Short-Term and Long-Term Memory for MapBuilding and Fuzzy Motion Planning”, International Journal of Artificial Life Research, volume 6, pp. 63-87, July 2016.
8. Takenori Obo, Naoyuki Kubota and Chu Kiong Loo, Evolutionary Ensemble Learning of Fuzzy Randomized Neural Network forPosture Recognition, In Proceedings of World Automation Congress 2016 (WAC 2016), Rio Grande, Puerto Rico, July 31-August 4, 2016.
9. Takenori Obo, Siqi Sun, Naoyuki Kubota, “Smart Device Interlocked Robot Partner for Elderly Care”, The 9th InternationalConference on Intelligent Robotics and Applications, Hachioji, pp36-47, Tokyo, Japan, August 22-24.2016.
10. Takuya Mabuchi, Sato Jozi, Takahiro Takeda, Naoyuki Kubota, “Rehabilitation Support System Using Multimodal InterfaceDevice for Aphasia Patients”, The 9th International Conference on intelligent Robotics and Applications, pp. 395-404, Tokyo, Japan, 2016August 22-24.
11. Azhar Aulia Saputra, Indra Adji Sulistijono, and Naoyuki Kubota. “Multimodal Recurrent Neural Network (MRNN) Based SelfBalancing System: Applied into Two-Wheeled Robot”, in Proc of International Conference on Intelligent Robotics and Applications(ICIRA 2016), pp. 596-608, Tokyo, Japan, Springer International Publishing, August 2016.
12. Noriko Takase, Janos Botzheim, Naoyuki Kubota, Naoyuki Takesue, Takuya Hashimoto, “Practical Robot EdutainmentActivities Program for Junior High School Students”, The 9th International Conference on Intelligent Robotics and Applications 2016(ICIRA 2016) Proceedings, pp.111-121, Tokyo Metropolitan University Minami-Osawa Campus, Tokyo, Japan, August 22-24, 2016.
13. Siqi Sun, Takahiro Takeda, Naoyuki Kubota, Hisae Koyama, “Smart Device Interlocked Robot Partners for InformationSupport Systems in Sightseeing Guide”, 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposiumon Advanced Intelligent Systems, pp.586-590, Sapporo, Japan, August 25-28, 2016.
14. Siqi Sun, Takenori Obo, Chu Kiong Loo, Nauyuki Kubota, “Health Promotion Using Smart Device Interlocked Robot Partnersfor Elderly People”, 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on AdvancedIntelligent Systems, pp.317-322, Sapporo, Japan, August 25-28, 2016.
15. Takenori Obo, Takahiro Takeda, Janos Botzheim and Naoyuki Kubota, Human-friendly Communication for Smart DeviceInterlocked Robot Partners, In Proceedings of the 13th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation ofHuman-Machine Systems (IFAC HMS 2016), WedB2-02, Kyoto, Japan, August 30 – September 2, 2016.
16. Takenori Obo and Naoyuki Kubota, Imitative Motion Generation for Smart Device Interlocked Robot Partner Based onNeuro-genetic Approach, In Proceedings of SICE Annual Conference 2016, Tsukuba, Japan, pp. 1179-1184, September 20-23, 2016.
17. Dalai Tang, Yuri Yoshihara, Takenori Obo, Takahiro Takeda, Janos Botzheim, and Naoyuki Kubota, Evolution Strategy forAnomaly Detection in Daily Life Monitoring of Elderly People, In Proceedings of SICE Annual Conference 2016, Tsukuba, Japan, pp.1376-1381, September 20-23, 2016.
18. Azhar Aulia Saputra, Achmad Subhan Khalilullah, Dadet Pramadihanto, and Naoyuki Kubota, “Neuro-based Controller for PushRecovery Behavior Under External Perturbations in Biped Robot”, in Proc. of 18th International Electronics Symposium (IES). pp. 111-116,Bali, Indonesia, September 29-30, 2016.
19. Siqi Sun, Takenori Obo, Naoyuki Kubota, “Human Robot Interaction for Health Promotion in Informationally Structured Space”,the 3th International Conference on Universal Village (UV2016), pp.157-161, Nagoya, Japan, October 6-8, 2016.
20. Azhar Aulia Saputra, Noel Nuo Wi Tay, Yuichiro Toda, Janos Botzheim, and Naoyuki Kubota, “Bezier Curve Model for EfficientBio-Inspired Locomotion of Low Cost Four Legged Robot,” in Proc. of 2016 IEEE/RSJ International Conference on Intelligent Robots andSystems (IROS). pp. 4443-4448. Daejeon Convention Center. Daejeon, Korea, October 9-14, 2016.
21. Mikael Jacquemont, Jinseok Woo, Janos Botzheim, Naoyuki Kubota, Nathan Sartori, Eric Benoit, Human-centric point ofview for a robot partner: A cooperative project between France and Japan, 11th France-Japan & 9th Europe-Asia Congress on Mechatronics(MECATRONICS)/17th International Conference on Research and Education in Mechatronics (REM), Prague, Czech Republic, pp. 164-169, 07 Dec – 09Dec, 2016.
22. Bakhtiar Yusuf, Jinseok Woo, Janos Botzheim, Naoyuki Kubota, Tudjarov Boris, Robot Partner Technology based on InformationSupport System for Elderly People and Their Family, The Third International Conference on Computing, Measurement, Control and SensorNetwork – 2016, Matsue, Shimane, Japan, pp. 32-35, May 20-22, 2016.
23. Yuichiro Toda, Hui Yu, Zhaojie Ju, Naoyuki Takesue, Kazuyoshi Wada and Naoyuki Kubota, “Real-time 3D Point CloudSegmentation using Growing Neural Gas with Utility”, The 9th International Conference on Human System Interaction, pp.418-422,Portsmouth, UK, 2016.
24. Shin Miyake, Yuichiro Toda and Naoyuki Kubota, Naoyuki Takesue and Kazuyoshi Wada, “Intensity Histogram basedSegmentation of 3D Point CLoud using Growing Neural Gas”, International Conference of Intelligent Robotics and Applications, pp.335-345, Tokyo,Japan, 2016.
25. Shuai Shao, Nan Shuo, Takenori Oobo, and Naoyuki Kubota, A P2P-Based iBeacon Indoor Positioning System, In Proceedingsof the 7th International Symposium on Computational Intelligence and Industrial Application (ISCIIA2016), Beijing, China, November 3-6, 2016.
26. Nan Shuo, Takenori Obo, and Naoyuki Kubota, Remote Multi-Robot Cooperation for Human-robot Communication inCommunity-centric Systems, In Proceedings of the 27th International Symposium on Micro-Nano Mechatronics and Human Science (MHS2016),Nagoya, Japan, November 28-30, 2016.
27. Mutsumi Iwasa, Naoyuki Kubota and Takenori Obo, “Motion Generation of Multi-Legged Robot by using Knowledge Transfer inRough Terrain”, In Proceedings of 2016 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS 2016),SSCI16-316, Athens, Greece, December 6-9, 2016.

2015

1. Azhar Aulia Saputra, Achmad Subhan Khalilullah, Indra Adji Sulistijono,Naoyuki Kubota,”Adaptive Motion Pattern Generation onBalancing of Humanoid Robot Movement,”Proc. of the IEEE 28th Canadian Conference on Electrical and ComputerEngineering(CCECE2015), Halifax,Canada, May 3-6, 2015.
2. Takenori Obo, Chu Kiong Loo and Naoyuki Kubota, Robot Posture Generation based on Genetic Algorithm for Imitation, Proc.(CD-ROM) of the 2015 IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, May 25-28, 2015.
3. Noriko Takase, Janos Botzheim, Naoyuki Kubota,” Evolving Spiking Neural Network for Robot Locomotion Generation”,IEEECongress on Evolutionary Computation 2015, Sendai International Center, Sendai, Japan, May 25-28 2015.
4. Azhar Aulia Saputra, Janos Botzheim, and Naoyuki Kubota, ” Efficiency energy on humanoid robot walking usingevolutionary algorithm”, in Proc of IEEE Congress on Evolutionary Computation 2015 (CEC 2015), pp. 573-578, Sendai, Japan, May 25-28,2015.
5. Takenori Obo, Chu Kiong Loo and Naoyuki Kubota, Mutual Adaptation in Neuro Fuzzy System for Human Posture Recognition,Proc. (CD-ROM) of the 10th Asian Control Conference (ASCC 2015), Kota Kinabalu, Malaysia, May 31 – June 3, 2015.
6. Wei hong Chin, Chu Kiong Loo, Naoyuki Kubota,”Multi-channel Bayesian Adaptive ResonanceAssociative Memory forEnvironment Learning andTopological Map Building,” Proc. of the 4th int. Conf. on Informatics, Electronics & Vision (ICIEV15),Kitakyushu, Japan, June 2015.
7. Bakhtiar Yusuf, Takashi Kato, Mime Hashimoto, Takahiro Takeda, Kenji Iwasaki, Hiroko Sugatani, NaoyukiKubota,”Multicolor and Multiple QR Code based Information Support System during Disaster for Elderly People,” Proc. of the 4th int. Conf.on Informatics, Electronics & Vision (ICIEV15), Kitakyushu, Japan, June 2015.
8. Takenori Obo, Habeebah Adamu Kakudi, Yuri Yoshihara, Chu Kiong Loo and Naoyuki Kubota, Lifelog Visualization for ElderlyHealth Care in Informationally Structured Space, Proc. (CD-ROM) of the 4th International Conference on Informatics, Electronics & Vision(ICIEV), Japan, June 15-18, 2015.
9. Noel Nuo Wi Tay, Takahiro Takeda, Kazuo Omoto, Makoto Tsujimoto, Naoyuki Kubota, “Development of Simulator for PressureControlled Cooling Pumps,” Proc. of 10 th Asian Control Conference (ASCC2015), Kota Kinabalu, Malaysia, June 2015.
10. Takenori Obo, Naoyuki Kubota, Chu Kiong Loo,”Mutual Adaptation in Neuro Fuzzy System for Human Posture Recognition,” Proc.of 10 th Asian Control Conference (ASCC2015), Kota Kinabalu,Malaysia, June 2015.
11. Yuichiro Toda, Naoyuki Kubota, “Simultaneous Localization and Mapping Based on (μ+1)-Evolution Strategy for MobileRobots”, Intelligent Robotics　and Applications 8th International Conference, ICIRA 2015, p.62-69, Portsmouth, UK, August 24-27, 2015.
12. Takenori Obo, Chu Kiong Loo and Naoyuki Kubota, Imitation Learning for Daily Exercise Support with Robot Partner, Proc.(CD-ROM) of the 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN2015), pp. 752-757, Kobe, Japan,August 31 – September 4, 2015.
13. Yusei Matsuo, Shunsuke Miki, Takahiro Takeda, and Naoyuki Kubota,”Self-Efficacy Estimation for Health Promotion Supportwith Robot Partner,”Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication,pp. 758-762,Kobe, Japan, Aug 31 – Sept 4, 2015.
14. Jinseok Woo, Janos Botzheim and Naoyuki Kubota, “Verbal Conversation System for a Socially Embedded Robot Partner usingEmotional Model,”Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, pp. 37-42, Kobe, Japan,Aug 31 – Sept 4, 2015.
15. Dalai Tang, Yuri Yoshihara, Takahiro Takeda, Janos Botzheim, Naoyuki Kubota, Informationally Structured Space for Life LogMonitoring in Elderly Care    The 2015 IEEE International Conference on Systems, Man and Cybernetics, pp.1421-1426,2015.
16. Jinseok Woo, Janos Botzheim, and Naoyuki Kubota, Verbal Conversation System for a Socially Embedded Robot Partner usingEmotional Model, Proceedings of the 24th IEEE International, Symposium on Robot andHuman Interactive Communication (RO-MAN2015), Kobe, Japan, pp. 37-42,November 2015.
17. Azhar Aulia Saputra, Indra Adji Sulistijono, Janos Botzheim, and Naoyuki Kubota, “Interconnection structure optimizationfor neural oscillator based biped robot locomotion,” in Proc. of the IEEE Symposium on Robotic Intelligence in Informationally StructuredSpace, pp. 288-294, South Africa, 2015.
18. Takahiro Takeda, Takuya Mabuchi, Naoyuki Kubota, Yutaka Hata, “A non-contacted ultrasound sysmte for inner muscleevaluation in rehabilitation support system,”Proc. of 17th International Symposium on Applied Electromagnetics and Mechanics,September 15-18, 2015.
19. Dalai Tang, Yuri Yoshihara, Takahiro Takeda, Janos Botzheim, Naoyuki Kubota, “Informationally Structured Space forMultimodal Monitoring in Smart Houses ,”Proc. of 17th International Symposium on Applied Electromagnetics and Mechanics, September 15-18,2015.
20. Azhar Aulia Saputra, Achmad Subhan Khalilullah, and Naoyuki Kubota, “Development of Humanoid Robot Locomotion Based onBiological Approach in EEPIS Robot Soccer (EROS)”. Lecture Notes on Computer Science, RoboCup 2015: Robot World Cup XIX. pp 303-315.Springer. 2015.
21. Wei Zheng, Yuri Yoshihara, Dalai Tang, Naoyuki Kubota, Wearable sensor-based monitoring system for human behaviorestimation, Technologies and Applications of Artificial Intelligence(TAAI),Tainan Taiwan, November 20-22,2015.
22. Azhar Aulia Saputra, Takahiro Takeda, Janos Botzheim, and Naoyuki Kubota, “Multi-objective evolutionary algorithm for neuraloscillator based robot locomotion,” in Proc. of the 41st Annual Conference of the IEEE Industrial Electronics Society. pp. 2655-2660.Yokohama, Japan. November 9-12. 2015.
23. Saika Ono, Takenori Obo, Loo Chu Kiong and Naoyuki Kubota, Robot Communication based on Relational Trust Model, InProceedings of the 41st Annual Conference of the IEEE Industrial Electronics Society (IECON2015), Yokohama, Japan, YF-025941, November9-12, 2015.
24. Takenori Obo, Loo Chu Kiong, Naoyuki Kubota, Human Behavior Modeling for Multimodal Interaction with Robot Partner, 26th2015 International Symposium on Micro-NanoMechatronics and Human Science(MHS2015), Nagoya, Japan, November 23-25, 2015.
25. Jinseok Woo, Chiaki Kasuya, Naoyuki Kubota. Content-based Conversation for Robot Partners  Based on Life Hub,25th 2015 International Symposium on Micro-NanoMechatronics and Human Science (MHS2015), pp. 317-322, Nagoya, Japan, 23-25 November 2015.
26. Noriko Takase, Takahiro Takeda, Janos Botzheim, Naoyuki Kubota,”Interaction, Communication, and Experience Design inRobot Edutainment”, 6th International Conference on Advanced Mechatronics (ICAM2015), pp.159-160, Nishiwaseda campus of WasedaUniversity, Tokyo, Japan, December 5-8, 2015.
27. Takenori Obo, Habeebah Adamu Kakudi, Chu Kiong Loo and Naoyuki Kubota, Behavior Pattern Extraction based on Growing NeuralNetworks for Informationally Structured Space, In Proceedings of 2015 IEEE Symposium on Robotic Intelligence in Informationally StructuredSpace (RiiSS 2015), pp. 138-144, Cape Town, South Africa, December 9-12, 2015.
28. Nan Shuo, Shuai Shao, Naoyuki Kubota, “An iBeacon-based Guide Robot System for Multi-lingual Service”, The 6thInternational Conference on Advanced Mechatronics (ICAM2015), Tokyo, Japan, 2015.

2014

1. Dalai Tang, Janos Botzheim, Naoyuki Kubota, Informationally Structured Space for Community-centric　Systems, theInternational Conference on Universal Village (UV2014), Boston, USA, June 16-17, 2014.
2. Junya Kusaka, Tkenori Obo, Janos Botzheim, and Naoyuki Kubota. Joint angle estimation system for rehabilitationevaluation support. In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), pp. 1456-1462, Beijing, China, July2014.
3. Hiroyuki Masuta, Yusei Matsuo, Hun-ok Lim, Naoyuki Kubota, “Robot-Human Interaction to Encourage Voluntary Action”, 2014IEEE International Conference on Fuzzy Systems, pp.1006-1012, 2014.
4. Janos Botzheim, Jinseok Woo, Noel Nuo wi Tay, Naoyuki Kubota, and Toou. Yamaguchi. Gestural and facial communication withsmart phone based robot partner using emotional model. In Proceedings of the World Automation Congress (WAC 2014), Kona,    Hawaii, USA, August 2014.
5. Takenori Obo and Naoyuki Kubota, Structured Learning in Fuzzy Spiking Neural Networks for Human State Estimation, Proc.(CD-ROM) of World Automation Congress 2014 (WAC2014), Waikoloa, Hawaii, USA, August 3-7, 2014.
6. Yuichiro Toda and Naoyuki Kubota, “Behavior Analysis of Evolution Strategy Sample Consensus”, In Proceedings of the 10thFrance-Japan & 8th Europe-Asia Congress on Mechatronics (MECATRONICS), pp. 250-255, Tokyo, Japan, 2014. 
7. Takenori Obo, Junya Kusaka, Naoyuki Kubota, Osamu Nitta, Tadamitsu Matsuda, Informationally Structured Space forComputational System Rehabilitation, Proc of International Conference on Systems, Man and Cybernetics (SMC 2014), pp.2243-2248, San Diego,California USA, October 5-8, 2014.
8. Yuri Yoshihara, Dalai Tang, Naoyuki Kubota, Life Log Visualization System in Informationally Structured Space, SICE AnnualConference 2014, Paper FrBT11.5, Hokkaido University, Sapporo, Japan, September 9-12, 2014.
9. Saika Ono, Junya Kusaka, Takenori Obo and Naoyuki Kubota, Exercise Support System with Robot Partner based on Feeling ofSelf-efficacy, 2014 International Symposium on Micro-NanoMecatronics and Human Science (MHS2014), pp.213-217, Nagoya, Japan, November 9-12,2014.
10. Tiong Yew Tang, Simon Egerton, Janos Botzheim, Naoyuki Kubota. Dynamic Programming for Guided Gene Transfer inBacterial Memetic Algorithm. In: C.K. Loo et al. (Eds.): ICONIP 2014, Part III, LNCS 8836, pp. 596-603, 2014.
11. Jinseok Woo, Janos Botzheim, Naoyuki Kubota. Facial and Gestural Expression Generation for Robot Partners. In Proceedingsof the 25th 2014 International Symposium on Micro-NanoMechatronics and Human Science (MHS 2014), pp. 218-223, Nagoya, Japan, November 2014.
12. Tiong Yew Tang, Simon Egerton, Janos Botzheim, Naoyui Kubota. Stress-Inspired Dynamic Optimisation on Working Memory forCognitive Robot Social Support Systems. In Proceedings of the 10th France-Japan and 8th Europe-Asia Congress on Mecatronics(Mecatronics-2014-Tokyo), pp. 361-366, Tokyo, Japan, November 2014.
13. Tamas Bodis, Kitti Udvardy, Janos. Botzheim. Interactive Training and Modeling Environment for Considering PalletSetup Features in Storage Location Assignment of Order Picking Zone. In Proceedings of the 10th France-Japan and  8th Europe-Asia Congresson Mecatronics (Mecatronics-2014-Tokyo), pp. 64-69, Tokyo, Japan, November 2014.
14. Takuya Mabuchi, Jun Shimazaki, Takahiro Takeda, Naoyuki Kubota and Tadamitsu Matsuda, “Computational SystemRehabilitation for Patients with Aphasia”, In Proceedings of the 10th France-Japan & 8th Europe-Asia Congress on Mechatronics(MECATRONICS), pp. 184-188, Tokyo, Japan, 2014. 
15. Jinseok Woo, Janos Botzheim, Naoyuki Kubota. Facial and Gestural Expression Generation for Robot Partners, 25th 2014International Symposium on Micro-NanoMechatronics and Human Science (MHS2014), Nagoya, Japan, November 2014.
16. Jinseok Woo, Janos Botzheim, Naoyuki Kubota. Conversation System for Natural Communication with Robot Partner, 10thFrance – Japan Congress, 8th Europe – Asia Congress on Mecatronics (Mecatronics2014), Tokyo, Japan, November 2014.
17. Jun Shimazaki, Takenori Obo, Naoyuki Kubota, Word-of-mouth Recommender System using Preference Extraction based onIEC, Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on AdvancedIntelligent Systems (SCIS & ISIS 2014), pp.930-935, Fukuoka, Japan, December 4-6, 2014.
18. Tiong Yew Tang, Simon Egerton, Janos Botzheim, Naoyuki Kubota. Average Edit Distance Bacterial Mutation Algorithm forEffective Optimisation. In Proceedings of the 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) – 2014 IEEESymposium on Robotic Intelligence in Informationally Structured Space (RiiSS 2014), pp. 1-7, Orlando, Florida, U.S.A., December 2014.
19. Noel Nuo wi Tay, Janos Botzheim, Chu Kiong Loo and Naoyuki Kubota. Robust Face Recognition via Transfer Learning for RobotPartner. In Proceedings of the 2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) -2014 IEEE Symposium onRobotic Intelligence in Informationally Structured Space (RiiSS 2014), pp. 8-15, Orlando, Florida, U.S.A., December 2014.
20. Azhar Aulia Saputra, Indra Adji Sulistijono, Achmad Subhan Khalilullah, Takahiro Takeda and Naoyuki Kubota, “Combining PoseControl and Angular Velocity Control for Motion Balance of Humanoid Robot Soccer EROS”, Proc. of 2014 IEEE Symposium on RoboticIntelligence in Informationally Structured Space (RiiSS), pp. 16-21, Orlando, Frorida, U.S.A, 2014.
21. Janos Botzheim, Naoyuki Kubota. Spiking Neural Network based Emotional Model for Robot Partner. In Proceedings of the2014 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) -2014 IEEE Symposium on Robotic Intelligence in InformationallyStructured Space (RiiSS 2014), pp. 22^27, Orlando, Florida, U.S.A., December 2014.
22. Shogo Yoshida and Naoyuki Kubota “Growing Neural Gas Based Conversation Selection Model for Robot Partner and HumanCommunication System”, Proc. of 2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS), pp. 28-32,Orlando, Frorida, U.S.A., 2014.
23. Takahiro Takeda, Yuki Mori, Naoyuki Kubota and Yasuhiro Arai, “A Route Planning for Disaster Waste Disposal Based onRobot Technology”, Proc. of 2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS), pp. 74-79, Orlando,Frorida, U.S.A., 2014.
24. Takenori Obo and Naoyuki Kubota, “Behavior Pattern Learning for Robot Partner based on Growing Neural Networks inInformationally Structured Space”, Proc. of 2014 IEEE Symposium on Robotic Intelligence in Informationally Structured Space (RiiSS), pp.86-91, Orlando, Florida, U.S.A., 2014.

2013

1. Janos Botzheim, Noriko Takase, Naoyuki Kubota, Cyclic Motion Generation for Intelligent Robot by Evolutionary Computation,IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS), Singapore, No.SS-0478, April 16-19,2013.
2. Dalai Tang, Janos Botzheim, Naoyuki Kubota, Toru Yamaguchi, Estimation of Human Transport Modes by Fuzzy Spiking NeuralNetwork and Evolution Strategy in Informationally Structured Space, IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems(GEFS), No.SS-1003, Singapore, April 16-19, 2013.
3. Akihiro Yorita, Janos Botzheim, Naoyuki Kubota, Emotional Models for Multi-modal Communication of Robot Partners, Proc(CD-ROM) of IEEE International Symposium on Industrial Electronic (ISIE2013), Taiwan, May 29-31, 2013.
4. Jinseok Woo，Jun Shimazaki，Yusei Matsuo, Naoyuki Kuobota, Hiroyuki Masuta, , Hun-ok Lim「Communication based onFrankl’s  Psychology for Humanoid Robot Partners using Emotional Model」, The 2013 IEEE International Conference on Fuzzy Systems(FUZZ-IEEE 2013), July 7-10, 2013 Hyderabad, India.
5. Y. Toda and N. Kubota, “Attention Allocation for Multi-modal Perception of Human-friendly Robot Partners,”the 12thIFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems,US, August, 2013.
6. Y.Toda and N.Kubota, “Feature Extraction based on Hierarchical Growing Neural Gas for Informationally Structured Space”,Proceedings of International Joint Conference on Neural Networks, pp.849-855, US, August, 2013.
7. Dalai Tang, Bakhtiar Yusuf, Yuri Yoshihara, Naoyuki Kubota, Visualization of Remote Observation System for Elderly PeopleBased on Informationally Structured Space, Proc (CD-ROM) of the 31st Annual Conference of the Robotics Society of Japan, 3S2-03, Tokyo,Japan, September 4-6, 2013.
8. Shintaro Suzuki, Yuichiro Toda, Naoyuki Kubota, Self-localization Based on Mobile Ad-hoc Network for Multi-robotSystem, Proc (CD-ROM) of the 31st Annual Conference of the Robotics Society of Japan, 3S2-02, Tokyo, Japan, September 4-6, 2013.
9. Shintaro Suzuki, Yuichiro Toda, Naoyuki Kubota, Initial Self-localization Based on Shared Information for Multi-robotTeleoperation System, Proc (CD-ROM) of SICE Annual Conference 2013, TuCT13.3, Nagoya, Japan, September 14-17, 2013.
10. Jinseok Woo, Naoyuki Kuobota「Conversation System based on Computational Intelligence for Robot Partner using Smartphone」, IEEE INTERNATIONAL CONFERENCE ON  SYSTEMS, MAN, AND CYBERNETICS, October 13-16, 2013, Manchester, UK.
11. Janos Botzheim, Dalai Tang, Bakhtiar Yusuf, Takenori Obo, Naoyuki Kubota, Toru Yamaguchi, “Extraction of Daily Life LogMeasured by Smart Phons Sensors using Neural Computing”, 17th International Conference in Knowledge Based and Intelligent Informationand Engineering system – KES2013, Procedia Computer Science 22(2013)883-892.
12. Janos Botzheim, Bakhtiar Yusuf, Naoyuki Kubota, Toru Yamaguchi, “Computational Intelligence for Gestural Communication usingEmotional Model”, The 3rd International Workshop on Advanced Computational Intelligence and Intelligent Informatics (IWACIII 2013),October 18-21, 2013, Shanghai, China.
13. Jinseok Woo, Iryu Kaku, Naoyuki Kubota 「Conversation System for Human Friendly Robot Partner Based on Perceptual ProgramInformation Using Smart Phone」, International Workshop on Advanced Computational Intelligence And Intelligent Informatics (IWACIII 2013Proceedings), October 18-21, 2013, Shanghai, China.
14. Naoki Masuyama, Chu Kiong Loo and Naoyuki Kubota, “Quantum Mechanics Inspired Bidirectional Associative Memory for HumanRobot Interaction,” Proceedings (CD-ROM) of the 3rd International Workshop on Advanced Computational Intelligence and IntelligentInformatics (IWACIII 2013 Proceedings), October 18-21, 2013, Shanghai, China.
15. Jinseok Woo, Janos Botzheim, Naoyuki Kubota 「P-40, 427, Utterance System for Community-centric Robot Partners inInformationally Structured Space」, ICONIP 2013 : 20th International Conference on Neural Information, November 3-7, 2013, Daegu,Korea（Poster Session, 査読有り）
16. Yuki Shimizu, Shogo Yoshida, Jun Shimazaki, Naoyuki Kubota, An Interactive Support System for Activating Shopping Streetsusing Robot Partners in Informationally Structured Space, Proc. (CD-ROM) of 2013 IEEE Workshop on Advanced Robotics and its SocialImpacts, Shibaura, Tokyo, Japan, November 7-9, 2013.
17. Yasunori Sakata,Janos Botzhheim,Naoyuki Kubota,”Development Platform for Robot Partners using SmartPhones”,MHS2013:24th 2013 International Symposium on Micro-NanoMechatronics and Human Science,November10-13,Nagoya,Japan,p.24.
18. Shogo Yoshida,Naoyuki Kubota, “Human-friendly Communication for Robot Partners using Social Networking”,MHS2013:24th2013 International Symposium on Micro-NanoMechatronics and Human Science,November 10-13,Nagoya,Japan.
19. Naoki Masuyama, Chu Kiong Loo, Naoyuki Kubota , Human-Robot Interaction System with Quantum-Inspired BidirectionalAssociative Memory, Proceedings of  2013 Second International Conference on Robot, Vision and Signal Processing,  pp.66-71,Kitakyushu, Japan, December 10-12, 2013.
20. Naoyuki Kubota, Yuichiro Toda, Shintaro Suzuki , Cooperative Formation of Multi-robot Based on Spring Model, Proceedingsof  2013 Second International Conference on Robot, Vision and Signal Processing,  pp.72-77, Kitakyushu, Japan, December 10-12,2013.
21. Yuri Yoshihara, Dalai Tang, Naoyuki Kubota , Life Log Visualization System Based on Informationally Structured Space forSupporting Elderly People, Proceedings of  2013 Second International Conference on Robot, Vision and Signal Processing, pp.78-83, Kitakyushu, Japan, December 10-12, 2013.
22. Noriko Takase, Janos Botzheim, Naoyuki Kubota , Robot Edutainment on Walking Motion of Multi-Legged Robot, Proceedingsof  2013 Second International Conference on Robot, Vision and Signal Processing,  pp.229-233, Kitakyushu, Japan, December 10-12,2013.
23. Naoyuki Kubota, Yuichiro Toda and Shintaro Suzuki, Cooperative Formation of Multi-Robot Based on Spring Model, Proceedingsof 2013 Second International Conference on Robot, Vision and Signal Processing (RVSP 2013), pp.72-77, Kitakyushu, Japan, December, 2013.

2012

1. Janos Botzheim, Yuichiro Toda, and Naoyuki Kubota, Simultaneousoptimization of path planning and flow shop scheduling by bacterial memetic algorithm, The Seventeenth International Symposium onArtificial Life and Robotics 2012 (AROB 17th ’12), p.512-515, Japan, January 19-21, 2012.
2. Yutaka Yasuda, Naoyuki Kubota and Yuichiro Toda, Adaptive Formation Behaviors of Multi-robot for CooperativeExploration, Proc. of 2012 IEEE World Congress on Computational Intelligence (WCCI 2012), pp.623-628, Brisbane, Australia, June 10-15,2012.
3. Jinseok Woo and Naoyuki Kubota, Interactive Categorization of Living Space based on Simultaneous Localization andMapping, Proc. of 2012 IEEE World Congress on Computational Intelligence (WCCI 2012), pp.3490-3496, Brisbane, Australia, June10-15, 2012.
4. Koh Nishimura, Naoyuki Kubota and Jinseok Woo, Design Support System for Emotional Expression of Robot Partners usingInteractive Evolutionary Computation, Proc. of 2012 IEEE World Congress on Computational Intelligence (WCCI 2012), pp.1317-1323, Brisbane,Australia, June 10-15, 2012.
5. Yuichiro Toda, Tsubasa Narita and Naoyuki Kubota, Information Visualization based on 3D Modeling for Human-friendlyTeleoperation, Proc. of 2012 IEEE World Congress on Computational Intelligence (WCCI 2012), pp.3558-3564, Brisbane, Australia, June10-15, 2012.
6. Takenori Obo, Toshiyuki Sawayama, Kazuhiko Taniguchi, Naoyuki Kubota, On-line Learning based on Spiking Neurons for HumanState Estimation in Informationally Structured Space, Proc. (CD-ROM) of World Automation Congress (WAC) 2012, Hotel Fiesta Americana, Mexico,June 24-27, 2012.
7. Utaki Ishikawa ,Takenori Obo, Naoyuki Kubota, Human Preference Learning by Robot Partners Based on Human Localization,Proc. (CD-ROM) of World Automation Congress (WAC) 2012, Hotel Fiesta Americana, Mexico, June 24-27, 2012.
8. Hiroyuki Masuta, Naoyuki Kubota, Environmental Perception for A Robot using 3D Range Camera, Proc. (CD-ROM) of WorldAutomation Congress (WAC) 2012, Hotel Fiesta Americana, Mexico, June 24-27, 2012.
9. Jinseok Woo, Kazuyoshi Wada, Naoyuki Kubota. (2012, June). Robot Partner System for elderly people care by using sensornetwork. In Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on (pp. 1329-1334). IEEE.
10. Naoyuki Kubota, Computational Intelligence for Multi-scale Localization, Mapping, and Visualization, Proc. (CD-ROM) ofInternational Symposium on Multi-scale Intelligent Systems, p.14, Nagoya University, Nagoya, Japan, July 27-28, 2012.
11. Botzheim Janos, A Novel Diversity Induction Method for Bacterial Memetic Algorithm by Hibernation of Individuals, Proc.(CD-ROM) of the Sixth International Conference on Genetic and Evolutionary Computing (ICGEC 2012) , pp. 328-331, Kitakyushu, Japan,August 25－28, 2012
12. Naoki Masuyama, Chee Seng Chan, Naoyuki Kubota, Jinseok Woo, “Computational Intelligence for Human InteractiveCommunication of Robot Partners”, PRICAI’12 Proceedings fo the 12th Pacific Rim International Conference on Trends in ArtificialIntelligence, pp. 771-776, Sarawak, Malaysia, Septembet 3-7, 2012.
13. Dalai Tang, Bakhtiar Yusuf, Botzheim Janos, and I. A. Sulistijono. Robot Partner Development Using Emotional Model Based onSensor Network, Proc. (CD-ROM) of IEEE Conference on Control, Systems and Industrial Informatics (ICCSII 2012), Bandung, Indonesia, pp.196-201, September 23-26, 2012.
14. Takenori Obo, Naoyuki Kubota, Remote Monitoring and Control using Smart Phones and Sensor Networks, Proc. (CD-ROM) of IEEEGlobal Conference on Consumer Electronics (GCCE2012), pp.471-474, Tokyo, Japan, October 2-5, 2012.
15. Yuichiro Toda, Naoyuki Kubota, Computational Intelligence for Human-friendly Robot Partners Based on Multi-modalCommunication, Proc. (CD-ROM) of IEEE Global Conference on Consumer Electronics (GCCE2012), pp.314-318, Tokyo, Japan, October 2-5, 2012.
16. Yuichiro Toda, Shintaro Suzuki, Naoyuki Kubota, Evolutionary Computation for Intelligent Self-localization in MultipleMobile Robots Based on SLAM, Proc. (CD-ROM) of the 2012 International Conference on Intelligent Robotics and Applications (ICIRA2012),Montreal, Canada, October 3-5, 2012.
17. Janos Botzheim, Naoyuki Kubota. Growing Neural Gas for Information Extraction in Gesture Recognition and Reproduction ofRobot Partners. In Proceedings of the 23rd International Symposium on Micro-NanoMechatronics and Human Science (MHS 2012), Nagoya, Japan, pp.149-154, November 4-7, 2012.
18. Boris Tudjarov, Janos Botzheim, Naoyuki Kubota, Facilitation of Cognitive Robotics by Web based ComputationalIntelligent Models. In Proceedings of the 23rd International Symposium on Micro-NanoMechatronics and Human Science (MHS 2012), Nagoya, Japan,pp. 144-148, November 4-7, 2012.
19. Yutaka Yasuda, Naoyuki Kubota, Formation Behavior of Multi-robot for Exploration and Monitoring, Proc (CD-ROM) of Joint 6thInternational Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligent Systems (SCIS& ISIS 2012), pp. 1232-1237, Koube, Japan, November 20-24, 2012.
20. Noriko Takase, Naoyuki Kubota, Norio Baba, Multi-scale Q-Learning of A Mobile Robot in Dynamic Environments, Proc(CD-ROM) of Joint 6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on AdvancedIntelligent Systems (SCIS & ISIS 2012), pp. 1248-1252, Koube, Japan, November 20-24, 2012.
21. Janos Botzheim, Takenori Obo, Naoyuki Kubota, Human Gesture Recognition for Robot Partners by Spiking Neural Network andClassification Learning, Proc (CD-ROM) of Joint 6th International Conference on Soft Computing and Intelligent Systems and 13thInternational Symposium on Advanced Intelligent Systems (SCIS & ISIS 2012), pp. 1954-1958, Koube, Japan, November 20-24, 2012.
22. Naoyuki Kubota, Janos Botzheim, Takenori Obo, Human Motion Tracking and Feature Extraction for Cognitive Rehabilitation inInformationally Structured Space, In Proceedings of the 9th France-Japan & 7th Europe-Asia Congress on Mechatronics(MECATRONICS) and the 13th International Workshop on Research and Education in Mechatronics (REM), Paris, France, pp. 464-471, November21-23, 2012.

2011

1. Takenori Obo, Naoyuki Kubota, Kazuhiko Taniguchi, Toshiyuki Sawaya, Human Localization Based on Spiking NeuralNetwork in Intelligent Sensor Networks, IEEE Symposium Series on Computational Intelligence 2011 (SSCI2011), Paris, France, April 11-15, 2011.
2. Yuichiro Toda, Naoyuki Kubota, Norio Baba, Intelligent Planning Based on Multi-resolution Map for SimultaneousLocalization and Mapping, IEEE Symposium Series on Computational Intelligence 2011 (SSCI2011), Paris, France, April 11-15, 2011.
3. Naoyuki Kubota, Takeru Mori and Akihiro Yorita, Conversation System for Robot Partners based on InformationallyStructured Space” IEEE Symposium Series on Computational Intelligence 2011 (SSCI2011), Paris, France, April 11-15, 2011.
4. Naoyuki Kubota, Yuichiro Toda, Beom Le., Multifeatured Visualization and Navigation in Tele-operation of MobileRobots, IEEE Symposium Series on Computational Intelligence 2011 (SSCI2011), Paris, France, April 11-15, 2011.
5. Janos Botzheim, Yuichiro Toda; Naoyuki Kubota, Path Planning for Mobile Robots by Bacterial Memetic Algorithm, IEEESymposium Series on Computational Intelligence 2011 (SSCI2011), Paris, France, April 11-15, 2011.
6. Naoyuki Kubota, Takeru Mori, Akihiro Yorita, Conversation System for Robot Partners based on InformationallyStructured Space, Proc. (CD-ROM) of IEEE Symposium Series on Computational Intelligence 2011 (SSCI2011), pp. 77-84, Paris, France,April 11-15, 2011.
7. Akihiro Yorita, Naoyuki Kubota, Mutual Learning for Second Language Education and Language Acquisition of Robots, Proceedings of the 6th International Symposium on Autonomous Minirobots for Research and Edutainment, S32, Bielefeld, Germany, May 23 – 25, 2011.
8. Naoyuki Kubota, Aiko Yaguchi, Utaki Ishikawa, Human PreferenceLearning by Robot Partners based on Multi-objective Behavior Coordination, Proc. (CD-ROM) of 2011 IEEE International Conference onFuzzy Systems (FUZZ-IEEE 2011), pp. 1362-1368, Taipei, Taiwan, June 27 – 30, 2011.
9. Yuki Wagatsuma, Yuichiro Toda, Naoyuki Kubota, Formation Behaviorof Multiple Robots based on Tele-operation, Proc. (CD-ROM) of 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp.713-720, Taipei, Taiwan, June 27-30, 2011.
10. Yuichiro Toda, Yuki Kodai, Eriko Hiwada, Naoyuki Kubota, HumanMotion Tracking for Cognitive Rehabilitation in Informationally Structured Space Based on Sensor Networks, Proc. (CD-ROM) of 2011 IEEEInternational Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp.1459-1465, Taipei, Taiwan, June 27-30, 2011.
11. Jinseok Woo, Naoyuki Kubota, Simultaneous Localization and Mappingusing a Robot Partner in Dynamic Environment, Proc. of SICE Annual Conference 2011, pp. 524-529,  Tokyo, Japan, September 13-18,2011.
12. Hiroyuki Masuta, Eriko Hiwada, Naoyuki Kubota, Environmental perception for grasping an unknown object based on 3Drange distance information, Proc. of SICE Annual Conference 2011, pp. 1270-1275, Tokyo, Japan, September 13-18, 2011.
13. Yuichiro Toda, Naoyuki Kubota, Path Planning using Multi-resolutionMap for a Mobile Robot, Proc. of SICE Annual Conference 2011, pp. 1276-1281,  Tokyo, Japan, September 13-18, 2011.
14. Yuichiro Toda, Shintaro Suzuki, Naoyuki Kubota, Self-localizationof Multi-robot System based on Simultaneous Localization and Mapping, Proc (CD-ROM) of International Symposium on Advanced IntelligentSystems (ISIS2011), Suwon, Korea, September 28 – October 1, 2011.
15. Jinseok Woo, Naoyuki Kubota, Beom-Hee Lee, Interactive Sensing byRobot Partner using Simultaneous Localization and Mapping in Informationally Structured Space, Proc (CD-ROM) of InternationalSymposium on Advanced Intelligent Systems (ISIS2011), pp.241-244, Suwon, Korea, September 28-October 1, 2011.
16. Hiroyuki Masuta, Eriko Hiwada and Naoyuki Kubota, Robot Perceptionof Unexpected Objects based on Human Visual Structure using a 3D Range Camera, IEEE International Conference on System, Man, and Cybernetics(SMC 2011), pp. 244-249, 2011.
17. Naoyuki Kubota, Yuichiro Toda, Shintaro Suzuki, Multi-scaleIntelligent Information Processing for Multi-robot System based on Human-friendly tele-operation, 2011 International Symposium onMicro-NanoMechatronics and Human Science, pp. 152-157, Nagoya, Japan, November 6-9, 2011.
18. Shintaro Suzuki, Yuichiro Toda, Nan shuo, Naoyuki Kubota,Information Support Systems to People in Emergence Situation, Proc (CD-ROM) of International Workshop on Advanced ComputationalIntelligence and Intelligent Informatics (IWACIII2011), Suzhou, China, November 19-23, 2011.
19. Dalai Tang and Naoyuki Kubota, Conversation System Corresponding to the Individual Persona of Elderly Person Based onInformationally Structured Space, Proc (CD-ROM) of International Workshop on Advanced Computational Intelligence and IntelligentInformatics (IWACIII2011), Suzhou, China, November 19-23, 2011.
20. Kaori Tajima, Yutaka Yasuda, and Naoyuki Kubota, FormationBehaviors based on Spring Model in Ultimate Simulator, Proc (CD-ROM) of International Workshop on Advanced Computational Intelligence andIntelligent Informatics (IWACIII2011),SS3-1, Suzhou, China, November 19-23, 2011, Best Student Paper Award, Session Best Presentation Award.
21. Tsubasa Narita, Kaori Tajima, Noriko Takase, Xinyu Zhou, ShunsukeHata, Kunihiro Yamada, Akihiro Yorita, and Naoyuki Kubota, Reconfigurable Locomotion Robots for Project-based Learning based onEdutainment, Proc (CD-ROM) of International Workshop on Advanced Computational Intelligence and Intelligent Informatics(IWACIII2011), SS5-3, Suzhou, China, November 19-23, 2011.

2010

1. Naoyuki Kubota, Rikako Komatsu, Beom Hee Lee, Remote Monitoring and Universal Remote Control Based on iPhone inInformationally Structured Space, Proc. (CD-ROM) of The 3rd International Multi-Conference on Engineering and TechnologicalInnovation (IMETI 2010), pp.134-139, Orlando, Florida, USA, June 29-July 2, 2010.
2. Jiangtao Cao, Naoyuki Kubota, Honghai Liu, A Two-stage Pattern Matching Method for Speaker Recognition of PartnerRotots, Proc. of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), pp.499-504, Barcelona, Spain, July 18-23, 2010.
3. Indra Adji Sulistijono, One Setiaji, Inzar Salfikar, Naoyuki Kubota, Fuzzy Walking and Turning Tap Movement forHumanoid Soccer Robot EFuRIO, Proc. of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), pp.1755-1760, Barcelona, Spain, July 18-23, 2010.
4. Naoyuki Kubota, Dalai Tang, Takenori Obo and Shiho Wakisaka, Localization of Human Based on Fuzzy Spiking Neural Networkin Informationally Structured Space, Proc. of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), pp.2209-2214, Barcelona,Spain, July 18-23, 2010.
5. Takenori Obo, Naoyuki Kubota, Beom Hee Lee, Localization of Human in Informationally Structured Space Based onSensor Networks, Proc. of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), pp.2215-2221, Barcelona, Spain, July 18-23,2010.
6. Naoyuki Kubota, Wataru Sato, Robot Design Support System based on Interactive Evolutionary Computation using BoltzmannSelection, Proc. of 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), pp.3974-3981, Barcelona, Spain, July 18-23,2010.
7. Obo Takenori, Kubota Naoyuki and Lee Beom, Localization of Human in Informationally Structured Space Based onSensor Networks Recent Advances on Fuzzy Robotics and Multi-robotics, 2010 IEEE World Congress on Computational Intelligence (WCCI 2010),Barcelona, Spain, July 21-23, 2010.
8. Dalai Tang, Naoyuki Kubota, Information Support System using Utterances based on Sensor Networks, The 4th International Symposium on  Computational Intelligence and Industrial Applications (ISCIIA) 2010, pp.70-78, Harbin University of Science and Technology, Harbin, China,  August 2-8, 2010.
9. Hiroyuki Masuta, Naoyuki Kubota, Information Reduction for Environment Perception of an Intelligent Robot ArmEquipped with a 3D Range Camera, SICE Annual Conference 2010, pp. 392-397, Taipei, Taiwan, August 18-21, 2010.
10. Jinseok Woo, Naoyuki Kubota, Beom-Hee Lee「Steady-state Genetic Algorithms for Growing Topological Mapping and Localization」, Pacific Rim International Conference on Artificial Intelligence (PRICAI 2010), LNAI 6230, pp.558-569, August 30-September 2, 2010.
11. Eriko Hiwada, Hiroyuki Masuta, Naoyuki Kubota, Active Perception based on Hough Transform and Evolutionary Computation using3D Range Sensor, Proc. (CD-ROM) of 19th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 10), pp. 260-265,Principe di Piemonte – Viareggio, Italy, September 12-15, 2010.
12. Takenori Obo, Naoyuki Kubota, Toshiyuki Sawayama, Kazuhiko Taniguchi, A Fuzzy Spiking Neural Network Using OpticalOscillosensor and Pneumatic Sensor for Human State Estimation, Proc. (CD-ROM) of World Automation Congress (WAC) 2010, Kobe Internationalconference Center Kobe, Japan, September 19-23, 2010.
13. Mehdi Khoury, Naoyuki Kubota, Honghai Liu, Optimizing Feature Selection Using Laplace Similarity in Occluded Human MotionRecognition, Proc. (CD-ROM) of World Automation Congress (WAC) 2010, Kobe International conference Center Kobe, Japan, September 19-23, 2010.
14. Dalai Tang, Naoyuki Kubota, Information Support System Based on Sensor Networks, Proc. (CD-ROM) of World Automation Congress(WAC) 2010, Kobe International conference Center Kobe, Japan, September 19-23, 2010.
15. Hironobu Sasaki, Naoyuki Kubota, Tomoya Fukukawa, Chen Fei, Sun Baiqing, Toshio Fukuda, Active Sensing for IntelligentRobot Vision with Range Imaging Sensor, Proc. (CD-ROM) of World Automation Congress (WAC) 2010, Kobe International conference CenterKobe, Japan, September 19-23, 2010.
16. Osamu Yuuki, Kanichi Simizu, Jiangtao Cao, Kunihiro Yamada, Naoyuki Kubota, Ball Trajectory Recognition with an EducationalRobot, Proc. (CD-ROM) of World Automation Congress (WAC) 2010, Kobe International conference Center Kobe, Japan, September 19-23, 2010.
17. Dalai Tang, Naoyuki Kubota, Human Localization by Fuzzy Spiking Neural Network Based on Informationally Structured Space,17th International Conference on Neural Information Processing (ICONIP 2010), Proceedings, Part I pp.25-32, Sydney, Australia, November 22-25,2010.
18. Naoyuki Kubota, Yuki Wagatsuma ” Cooperative Control of Multi-robot for Information Seeking,” The 2010 InternationalSymposium on Intelligent Systems (iFAN 2010), No. 543, Tokyo, September 25-26, 2010.
19. Hiroyuki Masuta, Naoyuki Kubota, “A cyclical learning by using spiking-neural network for a robot perception and action,” The2010 International Symposium on Intelligent Systems (iFAN 2010), No. 561, Tokyo, September 25-26, 2010.
20. Naoyuki Kubota, Tsubasa Narita, Growing Neural Gas for Structulization of Environmental Information and 3D Modeling, The2010 International Symposium on Intelligent Systems (iFAN 2010), Tokyo, September 25-26, 2010.
21. Naoyuki Kubota and Yuichiro Toda, Human-Friendly Tele-Operation of Robot Partners through iPhone, The 2010 InternationalSymposium on Intelligent Systems (iFAN 2010), Tokyo, September 25-26, 2010.
22. H. Masuta, N. Kubota, “Perceptual System using Spiking Neural Network for an Intelligent Robot,” 2010 IEEEInternational Conference on Systems, Man and Cybernetics, Istanbul, Turkey, 2010, pp. 3405-3412.
23. Naoyuki Kubota, Tsubasa Narita, Beom Hee Lee, 3D Topological Reconstruction based on Hough Transform and Growing NeuralGas for Informationally Structured Space, The 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2010),pp.3459-3464, Taipei, Taiwan, October 18-22, 2010.
24. Hiroyuki Masuta, Naoyuki Kubota, Structured Intelligence for Cyclic Learning based on Spiking-Neural Network for Human Friendly Robots, 2010 International Symposium on Micro-NanoMechatronics and Human Science, pp. 453-458, Nagoya, Japan, Norvenber 7-10, 2010.
25. Aiko Yaguchi, Naoyuki Kubota, The Style of Information Service by Robot Partners, in Proc. Part II, 2010International Conference on Intelligent Robotics and Applications (ICIRA 2010), Lecture Notes in Computer Science, Vol. 6425, pp.529-540, Shanghai, China, November 10-12, 2010.
26. A.Yorita, N.Kubota, Essential Technology for Team Teaching Using Robot Partners, in Proc. Part II, 2010 InternationalConference on Intelligent Robotics and Applications (ICIRA 2010), Lecture Notes in Computer Science, Vol. 6425, pp.517-528, Shanghai,China, November 10-12, 2010.
27. Hiroki Kimura, Naoyuki Kubota, Jiangtao Cao, Natural Communication for Robot Partners Based on Computational Intelligencefor Edutainment, MECATRONICS2010, pp.610-615, Yokohama, Japan, November 22-24, 2010.
28. Naoyuki Kubota, Koh Nishimura, Interactive Evolutionary Computation for Appearance Design of Robot Partners, Proc(CD-ROM) of Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on advancedIntelligent Systems (SCIS & ISIS 2010), pp. 50-55, Okayama, Japan, December 8-12, 2010.
29. Naoyuki Kubota, Koh Nishimura, Beom Hee Lee, Interactive Design for Behaviors of Robot Partners through Multi-modalCommunication, Proc (CD-ROM) of Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposiumon advanced Intelligent Systems (SCIS & ISIS 2010), pp. 367-372, Okayama, Japan, December 8-12, 2010.

2009

1. H.Masuta, N.Kubota, The Intelligent Control Based on Perceiving-Acting Cycle by using 3D-Range Camera, The 2009 IEEEInternational Conference on Systems, Man, and Cybernetics, pp.955-960, January 25 – 29, 2009.
2. M. Satomi, H. Masuta, and N. Kubota, Hierarchical Growing Neural Gas for Information Structure Space, IEEE SymposiumSeries on Computational Intelligence 2009 (IEEE SSCI 2009), pp.55-59, Tennessee, USA, March 30 – April 2, 2009.
3. H. Sasaki, N. Kubota, Distributed Behavior Learningof Multiple Mobile Robots based on Spiking Neural Network and Steady-State Genetic Algorithm, IEEE Symposium Series on ComputationalIntelligence 2009 (IEEE SSCI 2009), pp.73-78, Tennessee, USA, March 30 – April 2, 2009.
4. N. Aizawa, N. Kubota, Intelligent Formation Controlbased on Directionality of Multi-Agent System, IEEE Symposium Series on Computational Intelligence 2009 (IEEE SSCI 2009), pp.87-92, Tennessee,USA, March 30 – April 2, 2009.
5. N. Kubota and S. Wakisaka, Location-dependent EmotionalMemory for Natural Communication of Partner robots, IEEE Symposium Series on Computational Intelligence 2009 (IEEE SSCI 2009), pp.107-114,Tennessee, USA, March 30 – April 2, 2009.
6. H. Masuta, N. Kubota, Perceptual System for Intelligent Service Robot by using Three-Dimensional Range Camera, IEEESymposium Series on Computational Intelligence 2009 (IEEE SSCI 2009), pp.121-128, Tennessee, USA, March 30 – April 2, 2009.
7. Akihiro Yorita, Naoyuki Kubota, Evolutionary Robot Vision and Fuzzy Evaluation for Natural Communication of PartnerRobots, Proc. (CD-ROM) of International Fuzzy Systems Association, 2009 IFSA, pp,1869-1874, July 20 – July 24, Lisbon, Portugal, 2009.
8. Naoyuki Kubota,Yuki Wagatsuma, Shinya Ozawa, Intelligent Technologies for Edutainment using Multiple Robots, Proc.(CD-ROM) of The 5th International Symposium on Automomous Minirobots for Research and Educatinment (AMiRE 2009), pp, 195-203, Incheon,Korea, August 16 – August 18, 2009.
9. Akihiro Yorita, Takuya Hashimoto, Hiroshi Kobayashi, Naoyuki Kubota, Remote Education based on Robot Edutainment, Proc.(CD-ROM) of The 5th International Symposium on Automomous Minirobots for Research and Educatinment (AMiRE 2009), pp, 204-213, Incheon, Korea, August 16 – August 18, 2009.
10. Naoyuki Kubota, Naohide Aizawa, Self-Adaptation in Intelligent Formation Behaviors of Multiple Robots based on FuzzyControl, 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), August 20 – August 24, 2009, Jeju Island, Korea.
11. Hiroyuki Masuta, Student Member, Naoyuki Kubota, Perceptual System for Clearing the Table based on the Perceiving-ActingCycle, 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), August 20 – August 24, 2009, Jeju Island, Korea.
12. Naoyuki Kubota, Kodai Yuki, Norio Baba, Integration ofIntelligent Technologies for Simultaneous Localization and Mapping, Proc. of ICROS-SICE International Joint Conference 2009 (ICCAS-SICE2009), Fukuoka, Japan, August 18 – August 21, 2009.
13. Naoyuki Kubota, Takenori Obo, Toshio Fukuda, An Intelligent Monitoring System based on Emotional Model in SensorNetworks, Robot and Human Interactive Communication(RO-MAN), Toyama, Japan, September. 27 – October 2, 2009.
14. Naoyuki Kubota, Takeru Mori, Conversation System Basedon Boltzmann Selection and BayesianNetworks for A Partner Robot, Robot and Human Interactive Communication(RO-MAN), Toyama, Japan, September.27 – October 2, 2009.
15. Naoyuki Kubota, Shiho Wakisaka, and Akihiro Yorita, Tele-operation of Robot Partners through iPod touch, Proc. of 4thInternational Symposium on Computational Intelligence and Intelligent Informatics (ISCIII2009), Egypt, October 21 – 25, 2009.
16. Naoyuki Kubota, Hirotaka Sotobayashi, Takanori Obo, Human Interaction and Behavior Understanding Based on Sensor Networkwith iPhone for Rehabilitation, International Workshop on Advanced Computational Intelligence and Intelligent Informatics, Tokyo Instituteof Technology, November, 7, 2009.
17. Wataru Sato, Naoyuki Kubota, Interactive Evolutionary Computation for Robot Design Support System, 2009 IEEE InternationalSymposium on Computational Intelligence in Robotics and Automation (CIRA 2009), Daejeon, Korea, December 15-18, 2009.
18. Naoyuki Kubota, Akihiro Yorita, Topological Environment  Reconstruction in Informationally Structured Space for Pocket RobotPartners, 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA 2009), pp.165-170, Daejeon, Korea, December 15-18, 2009.
19. Osamu Yuuki, Kunihiro Yamada, Naoyuki Kubota, Trajectories Tracing for a Pitching Robot based on Human Recognition, 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation　(CIRA 2009), Daejeon, Korea, December 15-18,2009.

2008

1. Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi, Topological Map Building on A Genetic Algorithm for SimultaneousLocalization and Mapping, Proc. of the 5th International Symposium on Management Engineering (ISME 2008), pp. 93-98, Waseda University, Japan, March 15-17, 2008.
2. Chee Seng Chan, Honghai Liu, David Brown, Naoyuki Kubota, A Fuzzy Qualitative Approach to Human Motion Recognition, Proc.of the 2008 IEEE International Conference on Fuzzy Systems (FUZZ 2008) of the 2008 IEEE World Congress on Computational Intelligence (WCCI2008), pp.1242-1249, Hong Kong, China, June 1-6, 2008.
3. Naoyuki Kubota, Naohide Aizawa, Intelligent Control of Multi-Agent System based on Multi-Objective Behavior Coordination, Proc. of the 2008 IEEE International Conference on Fuzzy Systems (FUZZ2008) of the 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), pp.1458-1463, Hong Kong, China, June 1-6, 2008.
4. Naoyuki Kubota, Yu Tomioka, Gesture Recognition for a Partner Robot Based on Computational Intelligence, Proc. of the 2008IEEE International Conference on Fuzzy Systems (FUZZ 2008) of the 2008 IEEE World Congress on Computational Intelligence (WCCI 2008),pp.1477-1482, Hong Kong, China, June 1-6, 2008.
5. Naoyuki Kubota, Akihiro Yorita, Structured Learning forPartner Robots based on Natural Communication, Proc. (CD-ROM) of 2008 IEEE Conference on Soft Computing in Industrial Applications (SMCia), pp. 303-308, Muroran, Japan, June 25-27, 2008.
6. Naoyuki Kubota, Associative Learning for Cognitive Development of Partner Robot through Interaction with People, Proc. ofInternational Multi-Conference on Engineering and Technological Innovation (IMETI), pp. 24-29, Orlando, Florida, USA, June 29-July 2,2008.
7. Hiroyuki Masuta, Naoyuki Kubota, The perception for partner robot using by spiking neural network in dynamic environment, Proc. of SICE Annual Conference 2008, pp. 2001-2006, Chofu, Tokyo, Japan, August 20-22, 2008.
8. Naoyuki Kubota, Shinya Ozawa, Tele-operated Robots for Monitoring Based on Sensor Networks, Proc. of SICE AnnualConference 2008, pp. 3355-3360, Chofu, Tokyo, Japan, August 20-22, 2008.
9. Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi, Growing Topological Map for SLAM of Mobile Robots, Proc. of SICE AnnualConference 2008, pp.3523-3528, Chofu, Tokyo, Japan, August 20-22, 2008.
10. Hironobu Sasaki, Shinya Ozawa, Naoyuki Kubota, Learningof Glowing Topological Structure for Environmental Map Building by Multi-Robot, Proc. of Joint 4th International Conference on SoftComputing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), pp. 323-327,Nagoya, Japan, September 17-21, 2008.
11. Hiroyuki Masuta, Chia Chengta, Naoyuki Kubota, Toru Yamaguchi, Perceptual System for Intelligent Control of Robot Arms: Thetask of clearing the table, Proc. of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th InternationalSymposium on advanced Intelligent Systems (SCIS & ISIS 2008), pp. 613-618, Nagoya, Japan, September 17-21, 2008.
12. Naoyuki Kubota, Cognitive Development of Partner RobotsBased on Interaction with People, Proc. of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9thInternational Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), pp. 820-825, Nagoya, Japan, September 17-21, 2008.
13. Naoyuki, Kubota, Akihiro Yorita, Masashi Satomi, VisualTracking of A Partner Robot through Interaction with People, Proc. of Joint 4th International Conference on Soft Computing and IntelligentSystems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2008), pp. 1032-1037, Nagoya, Japan, September 17-21, 2008.
14. Naoyuki Kubota, Yu Tomioka, Hiroyuki Masuta, Gesture Recognition of Human Grasping Behaviors for Partner Robots, Proc. ofJoint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems(SCIS & ISIS 2008), pp. 1129-1134, Nagoya, Japan, September 17-21, 2008.
15. Naoyuki Kubota, Masashi Satomi, Growing Neural Gas withTriangulation for Reconstructing a 3D Surface Model, Proc. (CD-ROM) of World Automation Congress (WAC) 2008, ifmip_522, Hawaii, USA, September 28 – October 2, 2008.
16. Naoyuki Kubota, Indra Adji Sulistijono, Evolutionary Robot Vision for People Tracking Based on Local Clustering, Proc.(CD-ROM) of World Automation Congress (WAC) 2008, ifmip_517, Hawaii, USA, September 28 – October 2, 2008.
17. Naoyuki Kubota, Hiroyuki Kojima, Kazuhiko Taniguchi, Toshiyuki Sawayama, State Estimation Based on A Spiking Neural NetworkUsing Ultrasonic Oscillosensors, Proc. (CD-ROM) of World Automation Congress (WAC) 2008, ifmip_534, Hawaii, USA, September 28 – October 2,2008.
18. Hiroyuki Masuta, Naoyuki Kubota, Learnablity of A Spiking Neural Network for Perception of A Partner Robot, Proc. of 2008IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), pp. 1413-1418, Singapore, October 12-15, 2008.
19. Hiroyuki Sasaki, Naoyuki Kubota, Kazuhiro Taniguchi, Evolutionary Computation for Simultaneous Localization and Mappingbased on Topological Map of a Mobile Robot, Proc. of 2008 ICIRA Intelligent Robotics and Applications, pp. 883-891, Wuhan, China, October 15-17, 2008.

2007

1. Hironobu Sasaki, Naohide Aizawa, Naoyuki kubota, Behavior Learning of Multiple Mobile Robots based on Spiking NeuralNetwork, Proc. of International Symposium on Management Engineering 2007(ISME2007), p. R10, Waseda university, Kitakyushu city, March10-12, 2007.
2. Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi andYasutsugu Nogawa, Illuminance Measurement and SLAM of a Mobile Robot Based on Computational Intelligence, Proc (CD-ROM) of 7th IEEEInternational Symposium on Computional Intelligence in Robotics and Automation (CIRA2007), pp. 541-545, Jacksonville Florida USA, June 20-23, 2007.
3. Naoyuki Kubota, Naohide Aizawa, Intelligent Control ofA Multi-agent System based on Multi-objective Behavior Coordination, Proc (CD-ROM) of 7th IEEE International Symposium on ComputionalIntelligence in Robotics and Automation (CIRA2007), pp. 184-189, Jacksonville Florida USA, June 20-23, 2007.
4. Indra Adji Sulistijono, Naoyuki Kubota, Evolutionary Robot Vision for Multiple Human Heads Tracking of APartner Robot, Proceeding of 16th IEEE International Conference on Robot & Human Interactive Communication (Ro-Man2007), pp. 463-468, Jeju, Korea, August 26-29, 2007.
5. Naoyuki Kubota, Information Extraction Based on Evolutionary Robot Vision for Partner Robots, Proc (CD-ROM) ofInternational Symposium on Advanced Intelligent Systems (ISIS2007), pp. 21-26, Sokcho, Korea, September 5-8, 2007.
6. Naoyuki Kubota, Pei Jingzhe, Yoshikazu Mori, An Emotional Model For Natural Communication of A Partner Robot, Proc(CD-ROM) of International Symposium on Advanced Intelligent Systems (ISIS2007), pp. 153-158, Sokcho, Korea, September 5-8, 2007.
7. Naoyuki Kubota, Jingzhe Pei, Akihiro Yorita, Hiroyuki Kojima, Human Tracking and Natural Communication of Partner Robots,Proc (CD-ROM) of International Symposium on Advanced Intelligent Systems (ISIS2007), pp. 205-210, Sokcho, Korea, September 5-8, 2007.
8. Naoyuki Kubota, Masashi Satomi, Kazuhiko Taniguchi, andYasutsugu NOGAWA, Human Three-Dimensional Modeling based on Intelligent Sensor Fusion for A Tele-operated Mobile Robot, Proc (CD-ROM) of 11thInternational Conference, Knowledge-Based Intelligent Information and Engineering Systems (KES 2007), pp. 98-113, Vietri sul Mare, Italy,September 12-14, 2007.
9. Hironobu Sasaki, Naoyuki Kubota, Behavior Learning of Multiple Mobile Robots Based on Spiking Neural Networks with A ParallelGenetic Algorithm, Proc (CD-ROM) of Congress of Evolutionary Computation, pp. 1456-1461 , Singapore, September 25-29, 2007.
10. Naoyuki Kubota, Yu Tomioka, Evolutionary Robot Vision for Human Tracking of Partner Robots in Ambient Intelligence, Proc(CD-ROM) of Congress of Evolutionary Computation, pp. 1491-1496, Singapore, September 25-29, 2007.
11. Naoyuki. Kubota, Toshiyuki Shimizu, Trajectory Generation Based on a Steady-State Genetic Algorithm for ImitativeLearning of a Partner Robot, Proc (CD-ROM) of Congress of Evolutionary Computation, pp. 1497-1502, Singapore, September 25-29, 2007.
12. Indra Adji Sulistijono, Naoyuki Kubota, Evolutionary Robot Vision and Particle Swarm Optimization for Multiple HumanHeadsTracking of A Partner Robot, Proc (CD-ROM) of Congress of Evolutionary Computation, pp. 1535-1541, September 25-29, Singapore,2007.
13. Naoyuki Kubota, Yu Tomioka, Learnability in Human Gesture Recognition for a Partner Robot Based on ComputationalIntelligence, Proc(CD-ROM) of Congress of Evolutionary Computation, pp.2517-2522 , Singapore, September 25-29, 2007.
14. Naoyuki Kubota, Yu Tomioka, Shinya Ozawa, Intelligent Systems for Robot Edutainment, Proc. of 4th International Symposium onAutonomous Minirobots for Research and Edutainment (AMiRE 2007), pp. , Buenos Aires, Argentina, October 2-5, 2007.
15. Naoyuki Kubota, Kenichiro Nishida, Hiroyuki Masuta, TheRole of Prediction in Structured Learning of Partner Robots, Proc of 2007 IEEE International Conference on Systems, Man and Cybernetics,pp.1901-1906, Montreal, Quebec, Canada, October 7-10, 2007.
16. Naoyuki Kubota, Toshiki Ohinata, Shiho Wakisaka, Honghai Liu, Extraction of Facial Landmarks for a Partner Robot Basedon Evolutionary Computation, Proc. of Computation Intelligence, Robotics and Autonomous Systems (CIRAS 2007), pp. 44-49, MasseyUniversity, Palmerston North, New Zealand, November 28-30, 2007.
17. Naoyuki Kubota, Dalai Tang, Hiroyuki Kojima, Naohide Aizawa, Visualization of Perceptual Information of A Partner Robot,Proc. of the 2007 IEEE International Conference on Robotics and Biomimetics (Robio 2007), pp. 628-633, Sanya, China, December 15-18,2007.

2006

1. Naoyuki Kubota, Daisuke Koudu, Shinichi Kamijima, Kazuhiko Taniguchi, and Yasutsugu Nogawa, Vision-based Teleoperation ofA Mobile Robot with Visual Assistance, Intelligent Autonomous Systems 9, pp.365-371, Tokyo, Japan, March 7-9, 2006.
2. Naoyuki Kubota, Shintaro Omote, Yoshikazu Mori, Emotional Learning of A Vision-Based Partner Robot for NaturalCommunication with Human, Proc. (DVD-ROM) of 2006 IEEE World Congress on Computational Intelligence (WCCI 06), pp.6288-6294, Vancouver,Canada, July 16-21, 2006.
3. Naoyuki Kubota, Toshiyuki Shimizu, Modular Fuzzy NeuralNetworks for Imitative Learning of A Partner Robot, Proc. (DVD-ROM) of 2006 IEEE World Congress on Computational Intelligence (WCCI 06),pp.8179-8186, Vancouver, Canada, July 16-21, 2006.
4. Naoyuki Kubota, Kenichiro Nishida, The Role of SpikingNeurons for Visual Perception of A Partner Robot, Proc. (DVD-ROM) of 2006 IEEE World Congress on Computational Intelligence (WCCI 06), pp.530-537, Vancouver, Canada, July 16-21, 2006.
5. Naoyuki Kubota, Minoru Abe, Human Hand Detection for Gestures Recognition of A Partner Robot, Proc. (CD-ROM) of WorldAutomation Congress (WAC) 2006, ifmip_214, Budapest, Hungary, July 24-26, 2006.
6. Naoyuki Kubota, Hiroyuki Kojima, An Utterance System ofa Partner Robot based on Interaction and Perception, Proc. (CD-ROM) of World Automation Congress (WAC) 2006, ifmip_219, Budapest, Hungary, July 24-26, 2006.
7. Naoyuki Kubota, Daisuke Koudu, Shinichi Kamijima, Kazuhiko Taniguchi, Yasutsugu Nogawa, Human-Friendly Interface Based onVisual Attention for Multiple Mobile Robots, Proc. (CD-ROM) of World Automation Congress(WAC) 2006, ifmip_218, Budapest, Hungary, July24-26, 2006.
8. Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi, Yasutsugu Nogawa, SLAM for Illuminance Measurement Robot Based on Computational Intelligence, Proceedings of 8th International Conference on Motion and Vibration Control (MOVIC2006), pp.312-317 (2006.8).
9. Indra Adji Sulistijono, Naoyuki Kubota, Human Clustering for a Partner Robot Based on Particle Optimization, Proc.(CD-ROM) of 15th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 06), pp.686-691, Hatfield, UnitedKingdom, September 6-8, 2006.
10. Naoyuki Kubota, Kenichiro Nishida, Prediction of HumanBehavior Patterns Based on Spiking neurons for a Partner Robot, Proc. (CD-ROM) of 15th IEEE International Symposium on Robot and HumanInteractive Communication (RO-MAN 06), pp.692-697, Hatfield, United Kingdom, September 6-8, 2006.
11. Naoyuki Kubota, Masashi Satomi, Daisuke Koudu, KazuhikoTaniguchi, and Yasutsugu Nogawa, Human Interface for Vision-based teleoperation of Mobile Robots under office automation floors, Proc(CD-ROM) of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on advancedIntelligent Systems (SCIS & ISIS 2006), pp.157-162, O-okayama Campus West Bldg.9 Tokyo Institute of Technology, Tokyo, September 20-24, 2006.
12. Naoyuki Kubota, Toshiyuki Shimizu, Clustering of Internal State of A Partner Robot based on Modular Neural Networks, Proc (CD-ROM) of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on advancedIntelligent Systems (SCIS & ISIS 2006), pp.1032-1042, O-okayama Campus West Bldg.9 Tokyo Institute of Technology, Tokyo, September 20-24, 2006.
13. Naoyuki Kubota, Naohide Aizawa, Intelligent Control ofMultiple Partner, Proc (CD-ROM) of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7th InternationalSymposium on advanced Intelligent Systems (SCIS & ISIS 2006), pp.1977-1982, O-okayama Campus West Bldg.9 Tokyo Institute ofTechnology, Tokyo, September 20-24, 2006.
14. Naoyuki Kubota, Yu Tomioka, Minoru Abe, Temporal codingin spiking neural network for gestures recognition of a partner robot, Proc (CD-ROM) of Joint 3rd International Conference on Soft Computingand Intelligent Systems and 7th International Symposium on advanced Intelligent Systems (SCIS & ISIS 2006), pp.737-742, O-okayamaCampus West Bldg.9 Tokyo Institute of Technology, Tokyo, September 20-24, 2006.
15. Naoyuki Kubota, and Indra Adji Sulistijono, A Comparison of Particle Swarm Optimization and Genetic Algorithm forHuman Head Tracking, Proc (CD-ROM) of Joint 3rd International Conference on Soft Computing and Intelligent Systems and 7thInternational Symposium on advanced Intelligent Systems (SCIS & ISIS 2006), pp.2204-2209, O-okayama Campus West Bldg.9 Tokyo Instituteof Technology, Tokyo, September 20-24, 2006.
16. Hironobu Sasaki, Naoyuki Kubota, Kazuhiko Taniguchi, Yasutsugu Nogawa, Steady-State Genetic Algorithm for Self-localization in Illuminance Measurement of A Mobile Robot, Proc. of 2006 IEEEInternational Conference on Systems Man and Cybernetics (SMC2006), pp.1897-1902, Taipei, Taiwan, October 8-11, 2006.
17. Naoyuki Kubota, Kenichiro Nishida, Hiroyuki Kojima, Perceptual System of a Partner Robot for Natural CommunicationRestricted by Environments, Proc. of 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2006), IROS06-170,Beijing International Convention Center, Beijing, China, October 9-15, 2006.
18. Naoyuki Kubota, Yoshiki Shimomura, Human-Friendly Networked Partner Robots toward Sophisticated Services for A Community, Proceedings of SICE-ICCAS 2006, pp.4861-4866, Bexico, Busan, Koria, October 18-21, 2006.
19. Hironobu Sasaki, Naoyuki Kubota, Virus-Evolutionary Genetic Algorithm for Fuzzy Spiking Neural Network of A Mobile Robot in A Dynamic Environment, Proceedings of SICE-ICCAS 2006, pp.4861-4866, Bexico, Busan, Koria, October 18-21, 2006.
20. Hironobu Sasaki, Naoyuki Kubota, Map building and monitoring for environmental information gathering based on intelligentnetworked robots, Proceedings of Environmental Modelling and Simulation 2006, 556-070, St. Thomas, USVI, USA, November 29-December 1, 2006.
21. Kenichiro Nishida, Naoyuki Kubota, Spatial-temporal Expression based on Spiking Neurons for Prediction of a Partner Robot,Proc. of The Third International Conference on Autonomous Robots and Agents (ICARA 2006), pp.635-640, Palmerston North, New Zealand,December 12-14, 2006.
22. Naoyuki Kubota, Yu Tomioka, Kenichiro Nishida, Human Tracking and Gesture Recognition of a Partner Robot based on Computational Intelligence, Proc. of The Third International Conference on Autonomous Robots and Agents (ICARA 2006), pp.641-646, PalmerstonNorth, New Zealand, December 12-14, 2006.

2005

1. Naoyuki Kubota, Kenichiro Nishida, Fuzzy Computing fo rCommunication of A Partner Robot Based on Imitation, Proc. of 2005 IEEE International Conference on Robotics and Automation (CD-ROM), pp.4391-4396, Barcelona, Spain, April 18-22, 2005.
2. Hironobu Sasaki, Naoyuki Kubota, Behavior learning of amobile robot with a spiking neural network, Proc. of Ninth International Conference on Cognitive and Neural Systems P. 25, Boston,USA, May 18-21, 2005.
3. Naoyuki Kubota, Imitative Learning for Social Robotics Based on Computational Intelligence, Proc. of The Thirteenth Yale Workshop on Adaptive and Learning Systems, pp.195-200, Connecticut,USA, May 30-June 1, 2005.
4. Naoyuki Kubota, Kenichiro Nishida, Situated Perceptionof A Partner Robot Based on Neuro-Fuzzy Computing, Proc. (CD ROM) of 2005 IEEE Workshop on Advanced Robotics and its Social Impacts, TPO-2-4, Nagoya, Japan, June 12-15, 2005.
5. Naoyuki Kubota, Hironobu Sasaki, Genetic Algorithm for A Fuzzy Spiking Neural Network of A Mobile Robot, Proc. (CD-ROM) of IEEE International Symposium on Computational Intelligence in Roboticsand Automation (CIRA2005), F_8054, Espoo, Finland, June 29, 2005.
6. Naoyuki Kubota, Hironobu Sasaki, Kazuhiko Tniguchi, Illuminance Measurement of A Mobile Robot Based on ComputationalIntelligence, Proc. of 2005 IEEE International Conference on Mechatronics and Automation (ICMA 2005) (CD-ROM), pp.602-607, Ontario,Canada, July 29-August 1, 2005.
7. Shinichi Kamijima, Naoyuki Kubota, Kazuhiko Tniguchi, Teleoperation of A Vision-based Mobile Robot Under Office AutomationFloors, Proc. of 2005 IEEE International Conference on Mechatronics and Automation (ICMA 2005) (CD-ROM), pp.614-619, Ontario, Canada, July29-August 1, 2005.
8. Naoyuki Kubota, Kenichiro Nishida, Human Recognition ofA Partner Robot Based on Relevance Theory and Neuro-Fuzzy Computing, Proc. (CD-ROM) of 2005 IEEE/RSJ International Conference on IntelligentRobots and Systems, pp.2812-2817, Edmonton, Alberta, Canada, August 2-6, 2005.
9. Naoyuki Kubota, Kyotaro Tomoda, Behavior Acquisition of A Partner Robot through Interaction with A Human, Proc. Of SICE Annual Conference 2005, pp.2556-2561, Okayama, JAPAN, August 8-10, 2005.
10. Indra Adji Sulistijono, Naoyuki Kubota, Human Clustering for a Partner Robot Based on Computational Intelligence, Lecture Notes in Artificial Intelligent (LNAI) 3613, p.1001, Changsha, China, August 27-29, 2005.
11. Naoyuki Kubota, Minoru Abe, Computational Intelligencefor Cyclic Gestures Recognition of A Partner Robot, Proc. of 9th International Conference on Knowledge-Based Intelligent Information& Engineering Systems (KES 2005), pp.650-656, Melbourne, Australia, September 14-16, 2005.
12. Naoyuki Kubota, Minoru Abe, Cyclic Gestures Recognitionfor Interactive Learning of A Partner Robot, Proc. of the 3rd International Symposium on Autonomous Minirobots for Research andEdutainment (AMiRE 2005), pp.376-381, Fukui, JAPAN, September 20-22, 2005.
13. Naoyuki Kubota, Tomoaki Umeda, Coevolutionary Algorithmfor Behavior Acquisition of Soccer Robots, Proc. of the 3rd International Symposium on Autonomous Minirobots for Research andEdutainment (AMiRE 2005), pp.154-159, Fukui, JAPAN, September 20-22, 2005.
14. Naoyuki Kubota, Shinichi Kamijima, Kazuhiko Taniguchi,Teleoperation of A Mobile Robot under Office Automation Floors with Visual Assistance, Proc. of the 3rd International Symposium onAutonomous Minirobots for Research and Edutainment (AMiRE 2005), pp.66-72, Fukui, JAPAN, September 20-22, 2005.
15. Naoyuki Kubota, Hironobu Sasaki, Spiking Neural Networkfor Behavior Learning of A Mobile Robot, Proc. of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE2005), pp.267-272, Fukui, JAPAN, September 20-22, 2005.
16. Naoyuki Kubota, Minoru Abe, Gestures Recognition for APartner Robot Based on Spiking Neural Network, Proc. of Daeduck International Conference on Human-Centered Advance IntelligentTechnology 2005 (DIHCA 2005), pp.1-6, Daedeok Science Town, South Korea, September 25-27, 2005.
17. Naoyuki Kubota, Kenichiro Nishida, Development of Internal Models for Communication of A Partner Robot Based on Computational Intelligence, Proc. Of 6th International Symposium on Advanced Intelligent Systems (ISIS 2005), pp.577-582, Yeosu, Korea,September 28-October 1, 2005.
18. Naoyuki Kubota, Kyotaro Tomoda, Toshiyuki Shimizu, Computational Intelligence toward Educational Partner Robotics, Proc(CD-ROM) of The 5th Asian Symposium on Applied Electromagnetics and Mechanics (ASAEM 2005), Technical Section B-12, Hanoi, Vietnam, October10-14, 2005.
19. Naoyuki Kubota, Yoshihiro Ito, Minoru Abe, Hiroyuki Kojima, Computational Intelligence for Natural Communication of PartnerRobots, Proc (CD-ROM) of The 5th Asian Symposium on Applied Electromagnetics and Mechanics (ASAEM 2005), Technical Section B-11,Hanoi, Vietnam, October 10-14, 2005.
20. Naoyuki Kubota, Computational Intelligence for Social Learning of A Partner Robot, Proc. (CD-ROM) of 2nd InternationalSymposium on Computational Intelligence and Intelligent Informatics (ISCIII 05), pp.99-104, Les Cotes De Carthage, Gammarth Tunisia,October 14-16, 2005.
21. Naoyuki Kubota, Toshiyuki Shimizu, Minoru Abe, Joint Attention of A Partner Robot Based on Computational Intelligence, Proc.(CD-ROM) of 2nd International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII 05), pp.196-201, Les Cotes DeCarthage, Gammarth Tunisia, October 14-16, 2005.
22. Naoyuki Kubota, Shintaro Omote, Yoshikazu Mori, Emotional Model of A Vision-Based Partner Robot for NaturalCommunication with Human, Proc. (CD-ROM) of The 3rd International Conference on Computational Intelligence, Robotics and AutonomousSystems, INV104-104002, Orchard Hotel Singapore, December 13-16, 2005.
23. Naoyuki Kubota, Kyotaro Tomoda, Neural Networks for Model Learning of A Partner Robot, Proc. (CD-ROM) of The 3rdInternational Conference on Computational Intelligence, Robotics and Autonomous Systems, INV104-104011, Orchard Hotel Singapore, December13-16, 2005.

2004

1. Naoyuki Kubota, Situated Perception of A Mobile Robot Based on Perceiving-Acting Cycle, Proceedings (CD-ROM) of International Workshop on Fuzzy Systems & Innovational Computing (FIC 2004), Kita-Kyushu, Japan, June 2-3, 2004.
2. Yusuke Nojima, Naoyuki Kubota, Fumio Kojima, TrajectoryGeneration and Accumulation for Partner Robots based on Structured Learning, Proceedings (CD-ROM) of 2004 Congress on Evolutionary Computation (CEC2004), Portland, Oregon, June 19-23, 2004.
3. Naoyuki Kubota, Computational Intelligence for Human Detection of A Partner Robot, Proceedings (CD-ROM) of World AutomationCongress 2004 (WAC 2004), The international on Multimedia and Image Processing 2004 (IFMIP 2004), Seville, Spain, June 28- July 1, 2004.
4. Naoyuki Kubota,Shinichi Kamijima, Evolutionary Perceptual System for A Vision-based Mobile Robot, Proceedings (CD-ROM)of World Automation Congress 2004 (WAC 2004), The international on Multimedia and Image Processing 2004 (IFMIP 2004), Seville, Spain, June28- July 1, 2004.
5. Naoyuki Kubota, Structured Learning for Partner Robots,Proc. of 2004 IEEE International Conference on Fuzzy Systems Vol.1 pp.9-14, Budapest, Hungary, July 25-29, 2004.
6. Naoyuki Kubota, Visual Perception for a Partner Robot based on Computational Intelligence, Proc. of 2004 IEEE InternationalConference on Fuzzy Systems Vol.1 pp.293-298, Budapest, Hungary, July 25-29, 2004.
7. Naoyuki Kubota, Hironobu Sasaki, Behavior Learning of APartner Robot with A Spiking Neural Network, Proc. of 2004 IEEE International Conference on Fuzzy Systems Vol.1 pp.299-304, Budapest,Hungary, July 25-29, 2004.
8. Naoyuki Kubota, Kazuhiko Taniguchi, Atsushi Ueda, A Perceptual System for a Vision-based Mobile Robot Under OfficeAutomation Floors, Proc. of Eighth International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES2004), pp.1121-1127, Wellington, New Zealand, September 20-25, 2004.
9. Naoyuki Kubota, Yosuke Urushizaki, Behavior Learning inVirtual Environment of A Partner Robot Interacting with Human, Proc. (CD-ROM) of Joint 2nd International Conference on Soft Computing andIntelligent Systems & 5th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2004), FE-4-5, Yokohama, JAPAN, September 21 – 24, 2004.
10. Naoyuki Kubota, Yusuke Nojima, Fumio Kojima, ImitativeBehavior Generation for A Vision-Based Partner Robot, Proc. (CD-ROM) of 2004 IEEE/RSJ International Conference on Intelligent Robots andSystems (IROS2004), pp.3080-3085, Sendai, Japan, September 28 – October 2, 2004.
11. Naoyuki Kubota, A Spiking Neural Network for Behavior Learning of a Mobile Robot in a Dynamic Environment, Proc ofInternational Conference on Systems, Man and Cybernetics (SMC 2004), pp.5783-5788, Hague, Netherlands, October 10-13, 2004.
12. Naoyuki Kubota, Yoshihiro Ito, Extraction of Environmental Information of A Mobile Robot Based on ComputationalIntelligence, Proc of International Conference on Systems, Man and Cybernetics (SMC 2004), pp.5777-5782, Hague, Netherlands, October 10-13, 2004.
13. Naoyuki Kubota, Learning and Evolution for IntelligentRobots, Proc. (CD-ROM) of The 5th International Conference on Simulated Evolution And Learning (SEAL 04), Tutorials 3, Busan, Korea, October 26-29, 2004.
14. Naoyuki Kubota, Minoru Abe, Interactive Learning for APartner Robot Based on Cyclic Gestures, Proc. (CD-ROM) of The 5th International Conference on Simulated Evolution And Learning (SEAL 04),SWA-1, Busan, Korea, October 26-29, 2004.
15. Naoyuki Kubota, Shinichi Kamijima, Fuzzy Control For AVision-Based Soccer, Proc. (CD-ROM) of The 5th International Conference on Simulated Evolution And Learning (SEAL 04), SAW-2, Busan, Korea,October 26-29, 2004.
16. Naoyuki Kubota, Kenichiro Nishida, Fuzzy and Neural Computing for A Partner Robot Based on Imitation and Relevance Theory,Proc. of the Fourth International Symposium on Human and Artificial Intelligence Systems, pp.253-258, Fukui, JAPAN, December 5 – 6, 2004.
17. Naoyuki Kubota, Kyotaro Tomoda, Behavior Coordination of A Partner Robot based on Imitation, Proc. of 2nd International Conference on Autonomous Robots and Agents, pp.164-169, Palmerston North, New Zealand, December 13-15, 2004.

2003

1. Fukuda, T., Kubota, N., Computational Intelligence in Robotics, Proceedings of the International Symposium on Computational Intelligence and Intelligent Informatics 2003 (ISCIII 2003), pp.36-43, 2003-5.
2. Kubota, N., Mihara, M., Multi-Objective Behavior Coordination of Multiple Robots Interacting with A Dynamic Environment,Proceedings (CD-ROM) of the 2003 IEEE International Conference on Fuzzy Systems (FuzzIEEE 2003), pp.248-253, 2003-5.
3. Nojima, Y., Kojima, F., Kubota, N., Local episode-based Learning of multi-objective behavior coordination for AMobile Robot in Dynamic Environments, Proceedings (CD-ROM) of The IEEE international conference on fuzzy systems (FuzzIEEE2003), pp.307-312, 2003-5.
4. Kubota, N., Structured Learning for A Robot Based on Perceiving-Acting Cycle, Proceedings of the Twelfth Yale Workshop onAdaptive and Learning Systems, pp.199-206, 2003-5.
5. Nojima, Y., Kojima, F., Kubota, N., Trajectory Generation for Human-Friendly Behavior of Partner Robot using FuzzyEvaluating Interactive Genetic Algorithm, Proceedings (CD-ROM) of The IEEE international Symposium on Computational Intelligence in Roboticsand Automation (CIRA2003), pp.306-311, 2003-7.
6. Kubota, N. and Hisajima, D., Structured Learning of A Partner Robot Based on Perceiving-Acting Cycle, Proceedings (CD-ROM) of The IEEE international Symposium on Computational Intelligence in Robotics and Automation (CIRA2003), pp.283-288, 2003-7.
7. Hashimoto, S., Kubota, N., Kojima, F., Perceptual System for A Mobile Robot under A Dynamic Environment, The 5th IEEEInternational Symposium on Computational Intelligence in Robotics and Automation (CIRA2003), pp.747-752, 2003-7.
8. Kubota, N., Hashimoto, S., Kojima, F., A Sensory Network for Perception-Based Robotics Using Neural Networks, Proceedings (CD-ROM) of 2003 International Joint Conference on Neural Networks (IJCNN2003), pp.3151-3156, 2003-7.
9. Kubota, N., Hisajima, D., Interactive Learning for Partner Robot Based on Behavior Knowledge, Proceedings (CD-ROM) of SICEAnnual Conference in Fukui, pp.3122-3127, 2003-8.
10. Kubota, N., Urushizaki, Y., Multiple Value Functionfor A Computer Agent Interacting with Human, Proceedings of International Simulation and Gaming Association, 2003-9.
11. Kubota, N., Masuta, H., Action Learning of A MobileRobot Based on Perceiving-Acting Cycle, Proceedings (CD-ROM) of the 2003 IEEE/RSJ International Conference on Intelligent Robots andSystems, Las Vegas, Nevada, PP.1222-1227, 2003-10.
12. Kubota, N., Nojima, Y., Indra Adji S., Kojima, F., Interactive Trajectory Generation using Evolutionary Programming for A Partner Robot, Proceeding of the 12th IEEE Workshop Robot and Human Interactive Communication (RO-MAN 2003), pp.335-340, 2003-11.
13. Kubota, N., Interactive Genetic Algorithm for Behavior Generation of A Partner Robot, Proceedings (CD-ROM) of The second International Conference on Computational Intelligence, Robotics andAutonomous System (CIRAS 2003), 2003-12.
14. Kubota, N. and Hisajima, D., Interactive Learning of APartner Robot in Physical Communication, Proceedings (CD-ROM) of The second International Conference on Computational Intelligence, Roboticsand Autonomous System (CIRAS 2003), 2003-12.
15. Kubota, N., Kanemaki, M., Search in Perceiving-Acting Cycle for A Vision-Based Mobile Robot, Proceedings(CD-ROM) of The second International Conference on Computational Intelligence, Robotics and Autonomous System (CIRAS 2003), 2003-12.
16. Kubota, N., Niwa, M., A Perceptual System for Vision-based Evolutionary Robotics, Proceedings (CD-ROM) of IEEEInternational Conference on Neural Network & Signal Processing (ICNNSP 2003), pp.841-844, 2003-12.

2002

1. Kubota, N., Perception-Based Robotics Based on Perceiving-Acting Cycle with Modular Neural Networks, Proceedings(CD-ROM) of the 2002 International Joint Conference on Neural Networks (IJCNN 2002), pp.477-482, 2002-5.
2. Kubota, N., Masuta, H., Kojima, F., Fukuda, T., Perceptual System and Action System of A Mobile Robot with StructuredIntelligence, Proceedings (CD-ROM) of IEEE International Conference on Fuzzy Systems, 2002-5.
3. Kubota, N., Hisajima, D., Kojima, F., Fukuda, T., Communication of A partner Robot Based on Perceiving-Acting Cycle,Proceedings of the Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES 2002), pp.1387-1391, 2002-9.
4. Kubota,N., Mihara,M., Kojima, F., Perceptual Systemof Multiple Robots for Quasi-Ecosystem, Proceedings of the Sixth International Conference on Knowledge-Based Intelligent Information& Engineering Systems (KES2002), pp.1397-1401, 2002-9.
5. Kubota, N., Neya, H., Taniguchi, K., Sensory Network and Evolutionary Programming for a Mobile Robot, Proceedings(CD-ROM) of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL’02), pp.119-123, 2002-11.
6. Kubota, N., Indra, A.S., Kojima, F., Interactive Genetic Algorithm for Trajectory Generation of A Robot Manipulator,Proceeding (CD-ROM) of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL’02), pp.146-150, 2002-11.
7. Kubota,N., Mihara,M., Kojima, F., Multi-Objective Behavior Coordination and Target Selection of Multiple Robots for Quasi-Ecosystem, Proceedings (CD-ROM) of the 1st International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’02), pp.354-358, 2002-11.
8. Kubota, N., Masuta, H., Kojima, F., Fukuda, T., Action Learning of A Mobile Robot with Structured Intelligence in A Dynamic Environment, Proceedings (CD-ROM) of the 9th International Conference on Neural Information Processing (ICONIP’02), pp.2103-2107, 2002-11.
9. Hashimoto, S., Kubota, N., Kojima, F., EvolutionaryPerceptual System for A Mobile Robot under A Dynamic Environment, Proceedings of 3rd International Symposium on Human and ArtificialIntelligence Systems (HART2002), pp.252-257, 2002-12.
10. Kubota, N., Hisajima, D., and Kanemaki, M., PerceptualSystem for Situation-Based Actions of A Partner Robot, Proceedings of the Third International Symposium on Human and Artificial IntelligenceSystems (HART2002), pp.327-336, 2002-12.
11. Nojima, Y., Kojima, F., Kubota, N., Local Episode-based Learning of A Mobile Robot in A Dynamic Environment,Proceedings of The Third International Symposium on Human and Artificial Intelligence Systems (HART2002), pp.384-388, 2002-12.

2001

1. Kubota, N., Mihara, M., Kojima, F., Evolutionary Robotics for Quasi-Ecosystem, Proceedings (CD-ROM) of the 2001 Congresson Evolutionary Computation (CEC’01), Seoul, Korea, pp.115-120, 2001-5.
2. Kubota, N., Kojima, F., Fukuda, T., Self-Consciousness and Emotion for A Pet Robot with StructuredIntelligence, Proceedings (CD-ROM) of Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada, pp.2786-2791,2001-7.
3. Kubota, N., Hashimoto, S., Kojima, F., Genetic Programming for Life-time Learning of A Mobile Robot, Proceedings(CD-ROM) of Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada, pp.2422-2427, 2001-7.
4. Fukuda, T., Kubota, N., Computational Intelligence -Fuzzy, Neural, and Evolutionary Computing, Proceedings (CD-ROM) ofJoint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada, pp.2084-2089, 2001-7.
5. Kubota, N., Nojima, Y., Kojima, F., Fukuda, T., Dual Learning for Perception and Behavior of Mobile Robot, Proceedings(CD-ROM) of Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada, pp.1401-1406, 2001-7.
6. Kubota, N., Masuta, H., Taniguchi, K., Behavioral Dimension of Multi-Objective Behavior Coordination for A Mobile Robot, Proceedings of 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation, Banff, Canada, pp.374-379, 2001-7.
7. Nojima, Y., Kojima, F., Kubota, N., Perception andBehavior of Pet Robots based on Emotional Model, Proceedings of the Fifth International Conference on Knowledge Based IntelligentInformation Engineering System & Allied Technologies (KES 2001), Osaka, Japan, pp.859-863, 2001-9.
8. Hashimoto, S., Kojima, F., and Kubota, N., Genetic Programming for the Behavior Acquisition of the Perception-BasedRobotics, Proceedings of the Fifth International Conference on Knowledge Based Intelligent Information Engineering System & AlliedTechnologies (KES 2001), Osaka, Japan, pp.869-873, 2001-9.
9. Kubota, N., Masuta, H., Kojima, F., Fukuda, T., Perceiving-Acting Cycle for Perception-Based Robotics, Proceedings of The International Conference on Computational Intelligence, Robotics and Autonomous Systems, pp.233-238, 2001-11.

2000

1. Nojima, Y., Kubota, N., Kojima, F., Fukuda, T., Control of Behavior Dimension for Mobile Robots, Proceedings of The Fourth Asian Fuzzy System Symposium (AFFS’00), Tsukuba, Japan, pp.652-657, 2000-5.
2. Hashimoto, S., Kubota, N., Kojima, F., Fukuda, T.,Genetic Programming for Perception-Based Robotics, Proceedings of The Fourth Asian Fuzzy System Symposium (AFFS’00), Tsukuba, pp.674-679,2000-5.
3. Kubota, N., Hashimoto, S., Kojima, F., Taniguchi, K., GP-Preprocessed Fuzzy Inference for The Energy Load Prediction, Proceedings of the 2000 Congress on Evolutionary Computation (CEC’00), La Jolla, CA, pp.1-6, 2000-7.
4. Kubota, N., Nojima, Y., Baba, N., Kojima, F., Fukuda, T., Evolving Pet Robot with Emotional Model, Proceedings of the 2000 Congress on Evolutionary Computation (CEC’00), La Jolla, CA, pp.1231-1237, 2000-7.
5. Kubota, N., Nojima, Y., Kojima, F., Fukuda, T., Multi-Objective Behavior Coordinate for A mobile Robot with Fuzzy Neural Networks, Proceedings (CD-ROM) of IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000), Como, Italy, 2000-7.
6. Kubota, N., Ogishi M., Kojima, F., Learning of Multiple Robots in Quasi-Ecosystem, Proceedings (CD-ROM) of 2000 26th Annual Conference of the IEEE Industrial Electronics Society (IECON 2000), Nagoya, Japan, pp.2105-2110, 2000-10.
7. Kojima, F., Kubota, N., Hashimoto, S., QuantitativeNondestructive Evaluation of Material Defect using GP-based Fuzzy Inference System, (CD-ROM) of 2000 26th Annual Conference of the IEEEIndustrial Electronics Society (IECON 2000), Nagoya, Japan, pp.2519-2524, 2000-10.
8. Kubota, N., Kojima, F., Coevolutionary Optimizationin Uncertain Environments, Proceedings of The 4th Japan-Central Europe Joint Workshop on Energy and Information in Non-linear Systems, Brno, Czech Republic, pp.20-23, 2000-11.

1999

1. Kubota, N., Morioka, T., Kojima, F., Fukuda, T., Perception-Based Genetic Algorithm for A Mobile Robot in Dynamic Environment, Proceedings of 15th World Congress of The International Measurement Confederation (IMEKO-XV), Osaka, Vol.X, pp.89-96, 1999-6.
2. Kubota, N., Morioka, T., Kojima., F., Fukuda, T., Perception-Based Genetic Algorithm for A Mobile Robot with Fuzzy Controllers, Proceedings of 1999 Congress on Evolutionary Computation (CEC’99), Washington, D.C., pp.397-404, 1999-7.
3. Kubota, N., Fukuda, T., Hierarchical Coding in Coevolutionary Algorithms, Proceedings of 1999 Genetic and EvolutionaryComputation Conference (GECCO’99), Workshop Program, Orlando, Florida, pp.2-4, 1999-7.
4. Kubota, N., Morioka, T., Kojima, F., Fukuda, T., Sensory Network for Fuzzy Controller of A Mobile Robot, 1999 IEEEInternational Fuzzy Systems Conference Proceedings (FuzzIEEE’99), Seoul, Korea, pp.986-991, 1999-8.
5. Kubota, N., Nojima, Y., Kojima, F., Fukuda, T., Shibata, S., Intelligent Control of Self-Organizing Manufacturing System with Local Learning Mechanism, Proceedings (CD-ROM) of The 24th Annual Conference of the IEEE Industrial Electronics Society, (IECON’99), San Jose, 1999-11.

1998

1. Kubota, N., Fukuda, T., Fuzzy Scheduling Problem in Self-Organizing Manufacturing System, Proceedings of 1998 Second International Conference on Knowledge-Based Intelligent ElectronicSystems (KES’98), pp.116-125, 1998-4.
2. Kubota, N., Fukuda, T., Schema Representation in Virus-Evolutionary Genetic Algorithm for Knapsack Problem, Proceedings of the 1998 IEEE International Conference on Evolutional Computation (ICEC’98), pp.834-838, 1998-5.
3. Kubota, N., Arakawa, T., Fukuda, T., Motion Learning for Redundant Manipulator with Structured Intelligence, Proceedings of The 24th Annual Conference of the IEEE Industrial Electronics Society (IECON’98), Aachen, pp.104-109, 1998-9.

1997

1. Kubota, N., Arakawa, T., Fukuda, T., Shimojima, K., Evolutionary Transition on Virus-Evolutionary Genetic Algorithm, Proceedings of the IEEE International Conference on EvolutionalComputation (ICEC’97), pp.291-296, 1997-4.
2. Kubota, N., Fukuda, T., Arakawa, T., Shimojima, K.,Trajectory Generation for Redundant Manipulator Using Virus Evolutionary Genetic Algorithm, Proceedings of the IEEE InternationalConference on Robotics and Automation (ICRA’97), Albuquerque, pp.205 – 210, 1997-4.
3. Kubota, N., Arakawa, T., Fukuda, T., and Shimojima, K.,Fuzzy Manufacturing Scheduling by Virus-Evolutionary Genetic Algorithm in Self-Organizing Manufacturing System, Proceedings of The Sixth IEEEInternational Conference on Fuzzy Systems (FuzzIEEE’97), pp.1283-1288, 1997-7.
4. Kubota, N., Arakawa, T., Fukuda, T., Shimojima, K.,Motion Planning for A Robotic System with Structured Intelligence, Proceedings of the 1997 IEEE International Symposium on ComputationalIntelligence in Robotics and Automation (CIRA’97), Monterey, California, pp.60-65, 1997-7.
5. Kubota, N., Fukuda, T., Shibata, S., Yamamoto, H., Inada, Y., Intelligent Manufacturing System by The Evolutionary Computation -Scheduling and Planning of The Flexible Transportation-,Proceedings of The 23rd International Conference on Industrial Electronics, Control, and Instrumentation (IECON’97), pp.1136-1141,1997-11.

1996

1. Kubota, N., Shimojima, K., Fukuda, T., The Role ofVirus Infection in Virus-Evolutionary Genetic Algorithm, Proceedings of the IEEE International Conference on Evolutionary Computation(ICEC’96), pp.182-187, 1996-5.
2. Arakawa, T., Kubota, N., Fukuda, T., Shimojima, K.,Virus-Evolutionary Genetic Algorithm for Manufacturing and Robot System, Proceedings of the mini-Symposium on Genetic Algorithms andEngineering Design, pp.129-137, 1996-5.
3. Shimojima, K., Kubota, N., Fukuda, T., RBF Fuzzy Controller with Virus-Evolutionary Genetic Algorithm, Proceedings ofthe International Conference on Neural Network (ICNN’96), pp.1040-1043, 1996-6.
4. Kubota, N. and Fukuda, T., Virus-Evolutionary Genetic Algorithm for Combinatorial Optimization Problem, Proceedings of theNinth Yale Workshop on Adaptive and Learning Systems, pp.118-123, 1996-6.
5. Kubota, N., Shimojima, K., and Fukuda, T., Virus-Evolutionary Genetic Algorithm – Ecological Model on Planar Grid, Proceedings of the Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS’96), pp.505-509, 1996-6.
6. Kubota, N., Fukuda, T., Shimojima, K., Trajectory Planning of Redundant Manipulator Using Virus-Evolutionary GeneticAlgorithm, Proceedings of the Symposium on Robotics and Cybernetics -Computational Engineering in Systems Applications (CESA’96), pp.728-733, 1996-7.
7. Kubota, N., Fukuda, T., Shimojima, K., Trajectory Planning of Reconfigurable Redundant Manipulator UsingVirus-Evolutionary Genetic Algorithm, Proceedings of The 22nd International Conference on Industrial Electronics, Control, and Instrumentation, (IECON’96), pp.836-841, 1996-8.
8. Kubota, N., Shimojima, K., Fukuda, T., Virus-Evolutionary Genetic Algorithm – Coevolution of Planar GridModel, Proceedings of The Fifth IEEE International Conference on Fuzzy Systems (FuzzIEEE’96), pp.232-238, 1996-9.
9. Arakawa, T., Kubota, N., Fukuda, T., Virus-Evolutionary Genetic Algorithm with Subpopulations -Applicationto Trajectory Generation of Redundant Manipulator through Energy Optimization, Proceedings of The IEEE International Conference on Systems, Man, and Cybernetics, pp.1930-1935, 1996-10.

1995

1. Starke, J., Kubota, N., Fukuda, T., Combinatorial Optimization with Higher Order Neural Networks – Cost OrientedCompeting Processes in Flexible Manufacturing Systems, Proceedings of the International Conference on Neural Network (ICNN’95), pp.2658-2663,1995-11.

1994

1. Baba, N., Kubota, N., Collision Avoidance Planning of a Robot Manipulator by Using Genetic Algorithm – A Consideration for the Problem in Which Moving Obstacles and/or Several Robots Are Included in the Workspace, Proceedings of the 1st International Conference on Evolutionary Computation (ICEC’94), pp.714-719, 1994-6.
2. Kubota, N., Fukuda, T., Arai, F., Shimojima, K., Genetic Algorithm with Age Structure and Its Application to Self-Organizing Manufacturing System, Proceedings of 1994 IEEE Symposium on Emerging Technologies & Factory Automation (ETFA’94), pp.472-477, 1994-11.

2023

1. 寄田明宏，郭雨宸，大保武慶，本田 英二，久保田直行，高齢者を繋ぐサービスデザインのための継続学習，第5回 継続学習と知能の創発研究会 講演論文集, pp.1-5, 大阪, June 9, 2023.
2. 向井陽斗，目片幸二郎，寄田明宏， 青村茂，久保田直行, タブレット版 TMT アプリ実施結果の統計データ分析, 第5回 継続学習と知能の創発研究会 講演論文集, pp.14-15, 大阪, June 9, 2023.
3. 郭雨宸，窦文邦，Wei Hong Chin，寄田明宏，久保田直行, 個人の自己効力感向上のための動的メモリベースの適応モデル, 第39回 ファジィ システム シンポジウム / FSS2023, ヴィラ・デ・マリアージュ軽井澤, September 5-7,2023.
4. 大保 武慶, 丹野 亮佑, 藤本 泰成, 久保田 直行, 周辺建物と衛星位置情報を考慮したファジィ推論によるRTK測位の補正, 【D】産業応用部門 ものづくり研究会, 講演論文集, 松山, March 29, 2023.
5. 関口 拓郎, 大保 武慶, 久保田直行, 半側空間無視評価のための没入型VRシステムを用いたマルチモーダルセンシング, 第67回システム制御情報学会研究発表講演会, 講演論文集, 京都, May 17-19, 2023.
6. 江口 昌利, 大保 武慶, 久保田直行, PSOと最急降下法のハイブリッド型最適化手法による人間の3次元姿勢推定, 第67回システム制御情報学会研究発表講演会, 講演論文集, 京都, May 17-19, 2023.
7. 渡邉 真広, 大保 武慶, 久保田 直行, パーソナルモビリティのための5次元進化戦略SLAM, 自動車技術会大会学術講演会 2023年春季大会, 講演論文集, 横浜, May 24-26, 2023.
8. 東海林 優也, 久保田直行, 大保 武慶, プライバシー保護を考慮した遠隔見守り支援ロボットのためのトポロジカルマップ構築, ロボティクス・メカトロニクス講演会2023 (ROBOMECH2023), 講演論文集, 名古屋, June 28-July 1, 2023.
9. 浜田 国和, 大保 武慶, 久保田直行, スマートデバイスを用いた体操における運動リズムの評価, ロボティクス・メカトロニクス講演会2023 (ROBOMECH2023), 講演論文集, 名古屋, June 28-July 1, 2023.
10. 渡邉 真広, 大塩 晃平, 大保 武慶, 久保田 直行, 大規模環境における照度測定ロボットための協調SLAM, 日本機械学会 2023年度年次大会, 講演論文集, J151p-07, 東京, September 3-6, 2023.
11. 東海林 優也, 大保 武慶, 久保田 直行, 自己増殖型ニューラルネットワークを用いたパンチルト機構による移動物体追従とトポロジカルマップ構築, 日本機械学会 2023年度年次大会, 講演論文集, J151p-06, 東京, September 3-6, 2023.
12. 江口 昌利, 土手口 直毅, 大保 武慶, 久保田 直行, トポロジカルマッピングを用いたイベントカメラ画像処理システム, 日本機械学会 2023年度年次大会, 講演論文集, J151p-05, 東京, September 3-6, 2023.
13. 関口 拓郎, 大保 武慶, 久保田 直行, 松田 雅弘, トポロジカルマップを用いた半側空間無視における視覚的注意のモデリング, 第39回ファジィシステムシンポジウム, 講演論文集, pp. 545-550, 軽井沢, September 5-7, 2023.
14. 向井 陽斗, 目片 幸二郎, 寄田 明宏, 青村 茂, 大保 武慶, 久保田 直行, スマートTMT における合計遂行時間と認知時間の相関関係の解明, 第31回インテリジェント・システム・シンポジウム(FANシンポジウム), 講演論文集, Fr-A2-3, 福岡, September 7-8, 2023.
15. 久保田 直行, 大保 武慶, 寄田 明宏, 山本淳一, 岡部 康平, 加藤 健治, 平田 泰久, 本田 英二, 高齢者支援のためのコミュニティ・セントリック・システム, 第31回インテリジェント・システム・シンポジウム(FANシンポジウム), 講演論文集, Fr-C1-4, 福岡, September 7-8, 2023.
16. 大森 圭貢, 森尾 裕志, 大森 みかよ, 関根 悟, Adnan Rachmat Anom Besari, 大保 武慶, 久保田 直行, 山本 淳一, 高齢者における新たな動作獲得の可能性：非利き手箸操作の計測とリハビリテーション, 第31回インテリジェント・システム・シンポジウム(FANシンポジウム), 講演論文集, Fr-C3-4, 福岡, September 7-8, 2023.
17. 関根 悟, 大森 圭貢, 森尾 裕志, 櫻井 好美, 大保 武慶, 久保田 直行, 山本 淳一, 理学療法技能獲得のためのセンシングデバイスを用いた視線計測, 第31回インテリジェント・システム・シンポジウム(FANシンポジウム), 講演論文集, Fr-C3-3, 福岡, September 7-8, 2023.
18. 髙野 真拓, 浜田 国和, 大保 武慶, 久保田 直行, 関節角度推定に基づく身体機能評価のための立ち上がり動作パターンの分析, 第31回インテリジェント・システム・シンポジウム(FANシンポジウム), 講演論文集, Fr-C3-2, 福岡, September 7-8, 2023.
19. 髙根沢 皓誠, 大保 武慶, 東海林 優也, 武居 直行, 和田 一義, 久保田 直行, 演習授業のための多脚歩行ロボット開発環境, 第31回インテリジェント・システム・シンポジウム(FANシンポジウム), 講演論文集, Fr-C2-4, 福岡, September 7-8, 2023.
20. Chyan Zheng Siow, Weihao Wang, Franz Chuquirachi, Azhar Aulia Saputra, Takenori Obo, Naoyuki Kubota, Muscle Estimation using Stacked-LSTM Multivariate Regression Model, 第31回インテリジェント・システム・シンポジウム(FANシンポジウム), 講演論文集, Fr-C2-4, 福岡, September 7-8, 2023.
21. 岡部 康平, 加藤 健治, 大保 武慶, 久保田 直行, 教示・推薦システム構築に向けた日常生活動作データの基礎分析, LIFE2023, 講演論文集, 2P2G1, 新潟, September 19 – 21, 2023.
22. 掛川 圭, 松田雅弘, 高橋哲也, 大保武憲, 代田浩之, 加速度モーションセンサを使用した遠隔理学療法が動きの精度に及ぼす影響, LIFE2023, 講演論文集, 2P2G1, 新潟, September 19 – 21, 2023.

2022

1. 東海林優也, 大塩晃平, 久保田直行, 動的環境下における状況の知覚に基づく移動ロボットの多目的ファジィ制御, 第38回 ファジィシステムシンポジウム (FSS), オンライン, September 14-16, 2022.
2. 岩崎雄大, 大保武慶, 心拍・呼吸に合わせて明滅するLED内蔵型チェアがもたらすリラクゼーション効果の検証, ロボティクス・メカトロニクス講演会2022 (ROBOMECH2022), 講演論文集, 1A1-P02, 札幌, June 1-4, 2022.
3. 蕪木梨乃, 土手口直毅, 大保武慶, 久保田直行, 介護現場支援のためのGNGによる介護事例テキストの分析, 第20回コンピューテーショナル・インテリジェンス研究会, 講演論文集, 淡路島, June 3-4, 2022.
4. 蕪木梨乃, 吉見立也, 加藤健治, 大保武慶, 久保田直行, ロボットパートナーによる介護支援のためのGNGを用いた被介護者情報テキストの分析, 第3回 継続学習と知能の創発研究会 講演論文集, 東京, June 24, 2022.
5. 久保田直行，岡部康平，加藤健治，平田泰久，社会実装にむけたトレーラー型リビングラボにおける継続学習，第3回 継続学習と知能の創発研究会講演論文集, 東京, June 25, 2022.
6. 寄田明宏, 蕪木梨乃, 和田一義, 久保田直行, ロボット演劇を用いた社会的問題解決型学習, 第40回日本ロボット学会学術講演会（RSJ 2022）, 4G2-07, September 5-8, 2022.
7. 東海林優也, 大塩晃平, 久保田直行, 空間的注意に基づくセンサリーネットワークを用いた動的環境下における移動ロボットのファジィ制御, 第40回 日本ロボット学会学術講演会 (RSJ) , 東京大学本郷キャンパス, September 5-9, 2022.
8. 大保武慶, 没入型ヘッドマウントディスプレイを用いた半側空間無視評価システムの構築, 第38回ファジィシステムシンポジウム(FSS2022), 講演論文集, pp. 95-100, 東京, September 14-16, 2022.
9. 大保武慶, 献立推薦システムにおけるユーザの嗜好を考慮した多目的最適化, 第38回ファジィシステムシンポジウム(FSS2022), 講演論文集, pp. 91-94, 東京, September 14-16, 2022.
10. 大塩晃平, 土手口直毅, 久保田直行, 生活支援のためのモビリティ情報分析システム, 第38回ファジイシステムシンポジウム（FSS 2022）, 講演論文集, オンライン, September 14-16, 2022.
11. 久保田直行，戸田雄一郎, 知覚的差異を生み出す物理的差異とトポロジカルインテリジェンス，第38回ファジイシステムシンポジウム（FSS 2022），講演論文集, オンライン，September 14-16, 2022.
12. 大塩晃平, 久保田直行, 死角を考慮した非対称型注意レンジに基づく移動ロボットの多目的ファジィ制御, 第30回インテリジェント・システム・シンポジウム（FAN 2022）, 講演論文集, 神戸, September 21-22, 2022.
13. 大保武慶, 浜田国和, 蕪木梨乃, 久保田直行, 人の2D骨格情報を用いた進化計算に基づく関節角度推定, 第30回インテリジェント・システム・シンポジウム(FANシンポジウム), 講演論文集, 神戸, September 21-22, 2022.
14. 久保田直行, 大保武慶, 蕪木梨乃, 高間康史, スマーター・インクルーシブ・ソサエティにおけるトポロジカルインテリジェンス, 第30回インテリジェント・システム・シンポジウム(FANシンポジウム), 講演論文集, 神戸, September 21-22, 2022.
15. 藤本泰成, 後藤広明, 久保田直行, ローカル5Gを用いた照度計測ロボットの開発, ものづくり研究会 (電気学会) , 講演番号MZK-22-016, October 21, 2022.
16. 東海林優也, Growing Neural Gasを用いた空間的注意に基づく知覚システムによる高速環境センシング, 第4回 継続学習と知能の創発研究会, 岡山大学（オンライン）, December 9, 2022．
17. 竇文邦, 郭雨宸, 久保田直行, 継続学習のためのロバストな増殖型記憶システム Robust Growing Memory Network for Lifelong learning, 第4回 継続学習と知能の創発研究会, 岡山大学（オンライン）, December 9, 2022.
18. 久保田直行, 大保武慶, 蕪木梨乃, Fernando Ardilla, トポロジカルインテリジェンスのための認知アーキテクチャ, 自動制御学会システムインテグレーション部門講演会（SI2022）, December 14-16, 2022.
19. 関口 拓郎, 大保 武慶, Azhar Aulia Saputra, 久保田 直行, 加藤 健治, 山本 淳一, 外骨格型パワーアシストロボットを用いた体験による自己効力感変化の検証, 第23回計測自動制御学会システムインテグレーション部門講演会（SI2022）, December 14-16, 2022.
20. 東海林優也, 大塩晃平, 久保田直行, 環境変化へ自律的に適応するための移動ロボットの知覚システム, 第23回 計測自動制御学会システムインテグレーション部門講演会 (SI), 幕張メッセ国際会議場, December 14-16, 2022.
21. Chuquirachi Franz, ChyanZheng Siow, Wei Hong Chin, Naoyuki Kubota, Human Action Repetition Counting based on Similarity of Convolutional Neural Networks Features of Frames, in The 30th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence, September 21-22, 2022, pp. 173–176.

2021

1. 土手口直毅, 久保田直行, 微振動センサを用いた深層ボルツマンマシンによる行動推定, 第65回システム制御情報学会研究発表講演会（SCI’21）, オンライン, May 26-28, 2021.
2. 蕪木梨乃, 久保田直行, ロボットパートナーによる自己効力感に基づく学習支援, 第65回システム制御情報学会研究発表講演会（SCI’21）, オンライン, May 26-28, 2021.
3. Fernando Ardilla, Azhar Aulia Saputra, Naoyuki Kubota, Real-time Foothold Placement through Dynamic Density Topological Structure, 第39回日本ロボット学会学術講演会（RSJ2021）, Online, September 8-11, 2021．
4. 山田直, Yani Mohamad, 久保田直行, パートナーロボットによる支援動作のための人間状態パターンの分類手法の検討, 第39回日本ロボット学会学術講演会（RSJ2021）, Online, September 8-11, 2021．
5. 竇文邦, Chin Wei Hong, 久保田直行, 継続的ジェスチャー認識のための増殖リカレントカーネルマシン, 第37回ファジィ・システム・シンポジウム(FSS2021), オンライン, September 13-15, 2021.
6. 草刈佑太, Chin Wei Hong, 久保田直行, Siamese Networkを用いた個人特有の行動認識, インテリジェント・システム・シンポジウム2021（FAN2021）, Online, September 21-23, 2021．
7. 石丸雄大, 蕪木梨乃, 久保田直行, 多目的行動調停を用いた人間ロボット協調シミュレーション, インテリジェント・システム・シンポジウム2021（FAN2021）, Online, September 21-23, 2021．
8. 大塩晃平, 久保田直行, 非対称型注意レンジに基づく移動ロボットの多目的ファジィ制御, インテリジェント・システム・シンポジウム2021（FAN2021）, Online, September 21-23, 2021．
9. 大塩晃平, 辻元誠, 谷口和彦, 久保田直行, 3D-LiDARを利用した傾斜面や不整地における照度測定ロボットのSLAM, 電気学会産業応用部門ものづくり研究会 金属産業応用一般, オンライン開催, October 26, 2021
10. 久保田直行, Cyber-physical-social System（CPSS）とデジタルトランスフォーメーション」, 電気学会システム/スマートファシリティ合同研究会, November 2, 2021.
11. 唐成, Wei Hong Chin, 武居直行, 久保田直行, 水上ロボットによる水路トンネル内点検技術のためのSLAM, 計測自動制御学会 システム・情報部門 学術講演会2021(SSI), November 20-22, 2021.
12. 山田 直, 久保田直行, ロボットパートナーのための日常生活行動の分類, 第22回計測自動制御学会システムインテグレーション部門講演会, Online, December 15-17, 2021.
13. 石丸雄大, 山田直, 久保田直行, ロボットパートナーのためのスマートコミュニケーションホーム, 第22回計測自動制御学会システムインテグレーション部門講演会, Online, December 15-17, 2021.
14. Shuai Shao, Wei Quan, Naoyuki Kubota, Daily Physical Activity Encourage and Evaluation System Based on Self-efficiency, Intelligent Systems Symposium 2021 Online, 2021.

2020

1. 蕪木梨乃, 大塩晃平, 土手口直毅, 劉承輝, 久保田直行, 介護現場支援における移動型ロボットパートナーの開発, 第46回ファジィ・ワークショップ, 首都大学東京 秋葉原サテライトキャンパス, March 20-21, 2020.
2. 竇文邦, 久保田 直行, “関連性理論に基づく深層学習を用いた ハンドジェスチャコミュニケーション”, 第46回ファジィ・ワークショップ, March 20-21, 2020.
3. 李連超, 久保田 直行, “A feasible method of improving Students’self-efficacy in Robotics E-Learning at informationally structured space”, 第46回ファジィ・ワークショップ, March 20-21, 2020.
4. 草刈佑太, Wei Hong Chin, 久保田直行, カメラ画像を用いたニューラルネットワーク による歩行者の危険度推定, 自動車技術会2020年春季大会学術講演会予稿集No.20205070, May, 2020.
5. 梅津健也, Simon Egerton, 久保田直行, 社会実装を考慮したロボットパートナーにおける 胴体共有型マルチロボットの提案, 第64回システム制御情報学会研究発表講演会（SCI’20）, pp. 779-783, Web開催, May 20-22, 2020.
6. 石丸雄大, 久保田直行, 対話的認知モデルに基づくロボットパートナーの情報推薦, ロボティクス・メカトロニクス講演会, オンライン, May 27-30, 2020. 
7. 山田直, Yani Mohamad, 久保田直行, “人の受け取りやすさを考慮したロボットの 手渡し動作―手渡し位置と角度の対話的調整―”, 日本機械学会ロボティクス・メカトロニクス講演会2020予稿集, May 27-30, 2020.
8. 山本志遠, 久保田直行, ”ユーザの潜在的意図を考慮したロボットパートナーのための統合的情報推薦の提案”, 第36回ファジィシステムシンポジウム(FSS2020), pp.1-6, オンライン, September 7-9, 2020.
9. Yani Mohamad, Nao Yamada, Naoyuki Kubota, ”A Preliminary Result of Safety Manipulation System for Human Support Robot (HSR) Application”, In Proceedings 2020 Annual Conference Robot Society Japan (RSJ 2020), vol.  RSJ2020AC3E1-02, Japan, October, 2020.
10. 大塩晃平, 井上椋太, 久保田直行, 辻元誠, 谷口和彦, 概略地図情報を用いた照度計測ロボットの自己位置推定, 第38回日本ロボット学会学術講演会（RSJ 2020）, 2C1-03, オンライン開催, October 9-11, 2020.
11. 唐成, 井上椋太, 大塩晃平, 久保田直行, 辻元誠, 谷口和彦, “大規模環境で自律移動ロボットによる照度測定の研究” , SSI2020, Online, November 15-17, 2020.
12. 竇文邦, Chin Wei Hong, 久保田直行, “DTW-NN を用いる人間行動パターン認識システム”, 計測自動制御学会システム・情報部門学術講演会（SSI2020）, オンライン, November 15-17, 2020.
13. 石丸雄大, 久保田直行, ロボットパートナーを用いた状況を考慮した情報推薦,  第21回計測自動制御学会 システムインテグレーション部門講演会, オンライン, December 16-18, 2020.
14. 山本志遠, 梅津健也, 蕪木梨乃, 久保田直行, マルチロボットコミュニケーションを用いた人に寄り添う情報支援,  知能と情報（日本知能情報ファジィ学会誌）Vol.32, No.6, 2020.

2019

1. 禹珍碩, 久保田直行, 社会実装を目指したロボットパートナーの開発, 屋久島, 鹿児島, ものづくり研究会, March 7, 2019.
2. 梅津健也, 禹珍碩, 久保田直行, 観客参加型インタラクティブロボットシアターにおける観客側ロボットの効果, 第45回ファジィ・ワークショップ, pp.31-34, 首都大学東京秋葉原サテライトキャンパス, March 15-16, 2019.
3. 山本志遠, 禹珍碩, 久保田直行, 案内ロボットのアクティブコミュニケーションによる情報支援, 第63回システム制御 情報学会研究発表講演会, pp.839-844, 大阪府中央電気倶楽部, May 22-24, 2019.
4. 山本航平, 邵帥, 久保田直行, 空気圧センサを用いた健康支援のための睡眠時状態推定, 第63回システム制御情報学会研究発表講演会, pp.789-792, 大阪府中央電気倶楽部, May 22-24, 2019.
5. 井上椋太, 新井智之（首都大学東京）, 戸田雄一郎（岡山大学）, 辻元誠, 谷口和彦（株式会社きんでん）, 久保田直行（首都大学東京）, ”マルチセンサフュージョンに基づく照度計測ロボットの行動制御”, 日本機械学会ロボティクス・メ カトロニクス講演会2019, p144, 広島県, 広島国際会議場, June 5-8, 2019.
6. 新井智之, 井上椋太, 北井瑳佳, 戸田雄一郎, 和田一義, 武居直行, 久保田直行, 移動ロボットのための可変型測域センサアレイを用いた環境知覚, ロボティクス・メカトロニクス講演会2019, 2P1-D02, 広島, 広島国際会議場, June 5-8, 2019.
7. 梅津健也, 禹珍碩, 久保田直行, 観客参加型インタラクティブロボットシアター, ロボティクスメカトロニクス講演会2019, 1A1-C013, 広島県, 広島国際会議場, June 5-8, 2019.
8. 荒川俊哉, 新井智之, 井上椋太, 久保田直行, 戸田雄一郎, 辻本誠, 谷口和彦, “自律走行ロボットによる照度計測の自動化”, コンピューテーショナル・インテリジェンス学会（CI研究会）, 慶應義塾大学理工学部矢上キャンパス, June 29-30, 2019.
9. 新井智之, 井上椋太, 相野谷威雄, 笠松慶子, 久保田直行, 戸田雄一郎, 辻元誠, 谷口和彦, “屋内環境における自律照度測定ロボットの開発”, 日本保全学会第16回学術講演会, pp.74-77, 青森, リンクステーションホール青森, July 25-26, 2019.
10. 梅津健也, 禹珍碩, 久保田直行, 観衆の人数を考慮したインタラクティブロボットシアター, 第35回ファジィシステムシンポジウム（FSS2019）, TF 1-4, (CD-ROM) pp. 236-238, 大阪府, 大阪大学豊中キャンパス, August 29-31, 2019.
11. 田中亮佑, 山本淳一, 石塚祐香, 久保田直行,  “自閉スペクトラム症児のための発達支援ロボティクス”, 第35回ファジィシステムシンポジウム, TF3-1, 大阪, 大阪大学, August 29-31, 2019.
12. 山本志遠, 禹珍碩, 中川幸子, 成田雅彦, 松村慶一, 久保田直行, スマートデバイスを用いた多言語対応型情報支援ロボットの開発, 第37回日本ロボット学会学術講演会（RSJ2019）, 3J1-06, 東京都, 早稲田大学, September  3-7, 2019.
13. Mohamad Yani, Nao Yamada, Naoyuki Kubota, “Real-time Grasping of Unknown Objects Using Growing Neural Gas”, 37th Annual Conference of the Robotics Society of Japan, Tokyo, Japan, 4-7 September 2019.
14. 草刈佑太, 荒川俊哉, 久保田直行, カメラ画像を用いた自律移動ロボットのための歩行者グループ検出, 計測自動制御学会システム・情報部門学術講演会（SSI2019）, pp.678-681, 千葉大学西千葉キャンパス, November23-25, 2019.
15. 山本志遠, 禹珍碩, 二関智司, 久保田直行, 静音性を考慮したロボットパートナーの開発, 第20回計測自動制御学会システムインテグレーション部門講演会（SI2019）, pp2940-2941, 香川県, サンポート高松, December 12-14, 2019.

2018

1. 新井智之, 戸田雄一郎, 久保田直行, “移動ロボットのためのGrowing Neural Gasを用いた状態空間モデルに基づく強化学習”, 第62回システム制御情報学会研究発表講演会・システム制御情報学会 (CD-ROM)145-4, 京都テルサ, May 16-18, 2018.
2. 荒川俊哉, 中村佳雅, 松田正雄, 久保田直行, ”多目的行動調停を用いた案内ロボットの知的制御”, ロボティクス・メカトロニクス講演会20181, A1-I08, 北九州コンベンションゾーン, June 2-5, 2018.
3. 田中亮佑,久保田直行,関連性理論に基づく共同注意行動による認知環境の構築,ロボティクス・メカトロニクス講演会 2018,2P2-A18,福岡 北九州国際展示場,June 3-5,2018.
4. 戸田雄一郎, 北井瑳佳, 武居直行, 和田一義, 久保田直行, “測域センサアレイを用いた進化戦略に基づく３次元自己位置推定手法”, ロボティクス・メカトロニクス講演会2018, 2A2-M03, 北九州コンベンションゾーン, June 2-5, 2018.
5. 殿村隆太, 大保武慶, 松田雅弘, 久保田直行, 万治 淳史, ”自動車運転における注意機能の評価支援システム”, 第54回日本交通科学学会総会・学術講演会, G8-2, 首都大学東京南大沢キャンパス, June 28-29, 2018.
6. 戸田雄一郎, 北井瑳佳, 荒川俊哉, 井上椋太, 久保田直行, ”測域センサアレイを用いた歩行者の認識技術に関する検 討”, 第54回日本交通科学学会総会・学術講演会, G9-1, 首都大学東京南大沢キャンパス, Jun 28-29, 2018.
7. Azhar Aulia Saputra, 澤山卓也, 澤山智之, 松山雅幸, 久保田直行, ボイラ伝熱管における内挿式自走検査ロボットの試作, 日本保全学会-第15回学術講演会, 福岡, July 10-12, 2018．
8. 山本志遠, 田中亮祐, 禹珍碩, 久保田直行, ”ペルソナを用いたロボットパートナーのインタラクションシステム”, 第34回ファジィシンポジウム(CD-ROM), WH2-3, 愛知県, 名古屋大学, September 3-5, 2018.
9. 田中亮佑, 禹珍碩, 久保田直行, “経時的な動作学習を行うための人間の動作認識”, 第34回ファジィシステムシンポジウム, TF2-5, 愛知 名古屋大学, September 3-5, 2018.
10. Shuai Shao, Nan Shuo, Naoyuki Kubota,An Autocorrelation Neural Network for Behavior Estimation by HighPrecision Vibration Sensor, 第36回日本ロボット学会学術講演会, 3D1-03, 愛知県中部大学春日井キャンパ ス, September 4-7, 2018.
11. Zhang Haibin, Naoyuki Kubota, “An ICP-Based Navigation System for Human Support Robot”, 第36回日本ロボット学会学術講演, 2I1-04, 愛知県中部大学春日井キャンパス, September4-7, 2018.
12. 井上椋太, 新井智之, 戸田雄一郎, 久保田直行, ” 動的環境における移動ロボットの遠隔操作と可視化”, The 28th Fuzzy, Artificial Intelligence, Neural Networks and ComputationalIntelligence(FAN2018), 横浜国立大学, September 26-27, 2018.
13. 山本航平, 邵帥, 久保田直行, ” 空気圧センサにおけるスパイキングニューロンを用いた生体情報の取得”, The 28th Fuzzy, Artificial Intelligence, Neural Networks andComputational Intelligence （FAN2018）, pp65-68 , 横浜国立大学, September 26-27, 2018.
14. 北井瑳佳, 戸田雄一郎, 武居直行, 和田一義, 久保田直行,”多目的行動調停を用いた可変型測域センサアレイの知的制御”, 計測自動制御学会システム・情報部門学術講演会（SSI2018）論文集, GS04-043, 富山県, 富山国際会議場, Nobember 25-27, 2018.
15. 加藤薫平, Chin Wei Hong, 戸田雄一郎, 久保田直行, “コミュニケーションロボットによる能動的インタラクションのための行動認識”, ViEW2018, pp.98-99, 神奈川県, パシフィコ横浜, December 6-7, 2018．
16. 田中亮佑, 禹珍碩, 久保田直行, 教示学習を通した言語獲得を行うための認知発達システム, 第19回計測自動制御学会システムインテグレーション部門講演会, 大阪, 大阪工業大学, December 13-15, 2018.

2017

1. 戸田雄一郎, 北井瑳佳, 武居直行, 和田一義, 久保田直行, “測域センサアレイを用いたDYNAMIC TIME WARPINGに基づく3次元点群からの特徴点抽出”, 第22回ロボティクス・シンポジア, pp.105-110, 群馬県, March15-16, 2017.
2. 殿村隆太, 久保田直行, 大保武慶, “半側空間無視患者のための知覚-運動システムの構築”, 日本機械学会第23期総会・講演会(CD-ROM), OS1101-05, 東京理科大葛飾キャンパス, March.16-17, 2017.
3. 北井瑳佳, 戸田雄一郎, 武居直行, 和田一義, 久保田直行, “環境センシングための可変型測域センサアレイの知的制御”, ロボティクス・メカトロニクス講演会2017, 1P1-Q06, 福島県, ビックパレットふくしま , May 10-13, 2017．
4. 加藤薫平,久保田直行, “コミュニケーションロボットのための興味度推定”,ロボティクス・メカトロニクス講演会2017, 2A1-M07,福島県, ビックパレットふくしま, May 10-13, 2017．
5. 殿村隆太, 大保武慶, 久保田直行, ”ロボットパートナーを利用した注意誘導に基づく無視領域の推定”, 第61回システム制御情報学会研究発表講演会文集(CD-ROM),325-3, 京都テルサ, May 23-25, 2017.
6. 北井瑳佳, 戸田雄一郎, 武居直行, 和田一義, 久保田直行, “可変型測域センサアレイによる動的物体の追従制御”, 第35回日本ロボット学会学術講演会, 3C1-05, 埼玉県, 東洋大学川越キャンパス, September 11-14, 2017．
7. 呉澤沛, 戸田雄一郎, Noel Tay, 久保田直行, “物体把持のためのBatch Learning Growing Neural Gasを用いた把持位置の決定”, 第35回日本ロボット学会学術講演会, 1I1-06, 埼玉県, 東洋大学川越キャンパス, September 11-14, 2017．
8. 田中亮佑, 禹珍碩, 久保田直行, “多層ニューラルネットワークを用いたロボットパートナーのインタラクションシステムの提案”, 第35回日本ロボット学会学術講演会, 1G1-03, 埼玉県, 東洋大学川越キャンパス, September 12-14, 2017.
9. 加藤薫平, 久保田直行,  “コミュニケーションロボットのための腕に着目した興味度推定”, ファジィシステムシンポジウム, WA3-2, 山形県, 山形大学米沢キャンパス, September 13-15, 2017．
10. 岩朝睦美, 戸田雄一郎, 久保田直行, “A*アルゴリズムにおけるヒューリスティック推定値に関する改良の検討”, 第33回ファジィシステムシンポジウム, (CD-ROM)FE2-3, 山形大学, Sep.13-15, 2017.
11. 殿村隆太, 大保武慶, 松田雅弘, 万治淳史, 久保田直行, ”注意障害における探索行動分析のためのセンサフュージョンシステム” , 第33回ライフサポート学会大会(CD-ROM), OS7-3, お茶の水女子大学, September.15-17, 2017.
12. 戸田雄一郎, 北井瑳佳, 武居直行, 和田一義, 久保田直行, ”物体把持のための3次元点群の位相構造の学習と特徴抽 出”, 第27回インテリジェント・システム・シンポジウム (FAN2017), 岡山県, 岡山大学, November 7-8, 2017.
13. 武居直行, 戸田雄一郎, 北井瑳佳, 和田一義, 久保田直行, ” 可変型測域センサアレイの機構設計”, 第27回インテリジェント・システム・シンポジウム (FAN2017), 岡山県, 岡山大学, November 7-8, 2017.
14. 加藤薫平, 戸田雄一郎, 久保田直行, “コミュニケーションロボットのためのConvolutional NeuralNetworkを用いた姿勢推定と学習用データセットに関する検討”, ViEW2017, pp.146-147, 神奈川県, パシフィコ横浜, December 7-8, 2017．
15. 粕谷千秋, 大保武慶, 武田隆宏, 久保田直行, 指さし・物まね行為を用いた人とロボットのコミュニケーションシステム, 第18回計測自動制御学会システムインテグレーション部門講演会講演論文集, pp. 3113-3116, 2017.
16. 北井瑳佳, 戸田雄一郎, 武居直行, 和田一義, 久保田直行, “複雑な環境下における可変型測域センサアレイの知的制御”, 第12回コンピューテーショナル・インテリジェンス研究会,pp.48-51 ,千葉県, 千葉工業大学津田沼キャンパス, December 15-16, 2017.

2016

1. 粕谷千秋, 武田隆宏, 大保武慶, 久保田直行, スマートデバイスを用いたロボットパートナーによる健康情報支援, 第60回システム制御情報学会研究発表講演会, 京都府, 京都テルサ, May 25-27, 2016.
2. 戸田雄一郎, 三宅晨, 武居直行, 和田一義, 久保田直行，”環境認識のためのGrowing Neural Gasを用いた注視領域に基づく位相構造の抽出”, ロボティクス・メカトロニクス講演会2016, 1A2-10a2, 横浜パシフィコ, June8-11, 2016.
3. 孫斯琪, 大保武慶, 久保田直行, “ロボットパートナーを用いたヘルスプロモーション支援システム”, ロボティクス・ メカトロニクス講演会2016, 1A1-15a1, 横浜パシフィコ, June 8-11, 2016.
4. Azhar Aulia Saputra, Janos Botzheim, Naoyuki Kubota, “Movement Control on Neural Oscillator based Humanoid Robot Locomotion”, In Proc. of 21st Intelligent Mechatronics Workshop, 2A2-1, Hakodate, Japan, August 2016.
5. 岩朝睦美, 久保田直行,“知識の再利用による多足ロボットの不整地における歩行動作獲得”, 第32回ファジィシステムシンポジウム, (CD-ROM)WE2-1, 佐賀大学, Aug.31-Sep.2, 2016.
6. 北井瑳佳, 戸田雄一郎, 武居直行, 和田一義, 久保田直行, “可変型測域センサアレイによる視差情報を用いた半遮蔽領域の検出”, 第34回日本ロボット学会学術講演会, 1V1-02, 山形県, 山形大学小白川キャンパス, September 7-9, 2016．
7. 高瀬紀子, 武居直行, 橋本卓弥, 久保田直行, “女子中学生が参加するロボット研究製作活動プログラムの実践”, 第34 回日本ロボット学会学術講演会講演予稿集(CD-ROM), 3V1-06, 山形大学小白川キャンパス, September 7-9, 2016.
8. 孫斯琪, 大保武慶, 久保田直行, “健康作り支援のためのヒューマンロボットインタラクション”, 第26回インテリジェント・システム・シンポジウム, pp.385-389, 大阪, October,27-28, 2016.
9. 戸田雄一郎, 三宅晨, 北井瑳佳, 武居直行, 和田一義, 久保田直行,“ 測域センサアレイを用いた特徴抽出に基づく3次元環境地図の構築“, Vision Engineering Workshop 2016(ViEW 2016), IS1-27, 神奈川県, パシフィコ横浜, December 8-9, 2016.

2015

1. 戸田雄一郎, 久保田直行 “遠隔モニタリングのためのバネモデルに基づく取り囲みフォーメーション制御, 第27回自律分散システム・シンポジウム”, pp.368-375, 東京, June, 22-23,  2015.
2. ユスフバクティアル, 加藤貴司, 橋本美芽, 武田隆宏, 碩南, 岩崎謙次, 菅谷紘子, 大保武慶, 久保田直行, ”高齢者に 対する災害時における情報支援システム”, 第41回ファジー・ワークショップ, 首都大学東京南大沢キャンバス,  March 6, 2015.
3. 戸田雄一郎, 久保田直行, “遠隔モニタリングのためのBATCH LEARNING GROWING NEURAL GASに基づく強調フォーメーション行動”, 第20回ロボティクスシンポジア, pp.195-200, 長野, March16-17, 2015.
4. 岩朝睦美, 久保田直行, “L-systemと遺伝的プログラミングによる外部環境を考慮した3次元樹木の自動形状生成”,第42回知能システムシンポジウム, E-06, 神戸市, 北野プラザ六甲荘, March 17-18, 2015.
5. 戸田雄一郎, 久保田直行, “３次元距離センサを用いた進化戦略に基づく２次元環境地図の構築”, ロボティクス・メカトロニクス講演会2015(CD-ROM), 京都, みやこめっせ, May17-19, 2015.
6. 岩朝睦美, 久保田直行, “強化学習を用いたバスケットボールエージェントのシュートシミュレーション”, ロボティクス・メカトロニクス講演会2015(CD-ROM), 京都, みやこめっせ, May17-19, 2015.
7. 三木俊介, 松尾優成, 久保田直行, “パートナーロボットを用いた健康づくり支援のための発話システム”, ロボティクス・メカトロニクス講演会2015(CD-ROM), 京都, みやこめっせ, May17-19, 2015.
8. 中村佳雅, 田松孝慈, 久保田直行, 坂下和広, “高齢者のためのスマートデバイス連動型シニアカー”, ロボティクス・メカトロニクス講演会2015(CD-ROM), 京都, みやこめっせ, May17-19, 2015.
9. 馬渕琢弥, 武田隆宏, 久保田直行, “タブレットPCを用いた失語症リハビリテーション効果の検証”, ロボティクス・メカトロニクス講演会2015(CD-ROM), 京都, みやこめっせ, May17-19, 2015.
10. 馬渕琢弥, 武田隆宏, 久保田直行”マルチモーダル機器を使用した失語症患者リハビリテーション支援システムの開発, “第59回システム制御情報学会研究発表講演会文集(CD-ROM), 中央電気倶楽部, 大阪, May20-22, 2015.
11. 武田隆宏, 大保武慶, 日下純也, 久保田直行, “進化論的多目的最適化に基づく上肢関節角度推定システム”, 第59回システム制御情報学会研究発表講演会文集(CD-ROM), 中央電気倶楽部, 大阪, May20-22, 2015.
12. 粕谷千秋, 禹珍碩, 戸田雄一郎, 久保田直行, “スマートデバイスの個人データを用いたロボットパートナーの自然なコミュニケーション”, 第31回ファジィシステムシンポジウム, 東京都電気通信大学, September 2-4, 2015.
13. 佐藤太一, 久保田直行, マルチロボットコミュニケーションから創出される集団的意識, 第31回ファジィシステムシンポジウム, 電気通信大学, September 2-4, 2015.
14. 三宅晨, 戸田雄一郎, 久保田直行, 中野和司, 舩戸徹郎, 動的環境におけるマルチロボットシステムのための2台のリー ダを用いたフォーメーション制御 , 第31回ファジィシステムシンポジウム, pp.111-114, 東京都, 電気通信大学, September2-4, 2015.
15. 岩朝睦美, 久保田直行, “ヘテロジニアスマルチエージェント環境におけるファジィQ学習と共通行動の抽出を用いた転 移学習”, 第31回ファジィシステムシンポジウム, 東京都, 電気通信大学, September 2-4, 2015.
16. 田松孝慈, 中村佳雅, 戸田雄一郎, 久保田直行, ランドマークを利用したシニアカーの自動追従システム , 第33回 日本ロボット学会 学術講演会2015, 東京電機大学 東京千住キャンパス, September 3-5, 2015.
17. 吉原ゆり, 武田隆宏, 藤本泰成, 小山久枝, 久保田直行, 山口亨, 佐藤知正,  “すれちがい通信による避難所生活における秘匿情報伝達システムの提案”, 第33回日本ロボット学会学術講演会, September 3-5, 2015.

2014

1. 戸田雄一郎, 久保田直行, ロバスト推定におけるAdaptive Evolution Strategy Sample Consensusの提案, 第6回進化計算学会研究会, March, 5-6, 2014.
2. 戸田雄一郎, 久保田直行, 複数台移動ロボットによるフォーメーション行動に基づく遠隔モニタリングシステム,第19回ロボティクスシンポジア, March, 13-14, 2014.
3. 久保田直行, 大保武慶, 日下純也, 計算論的システムリハビリテーションに基づく計測支援システム, 第58回システム制御情報学会研究発表講演会, May 21-23, 2014.
4. 小野彩佳, 禹珍碩, 松尾優成, 日下純也, 和田一義, 久保田直行, ロボットパートナーを用いた高齢者健康づくり支援システム, 第58回システム制御情報学会研究発表講演会, May 21-23, 2014.
5. 高瀬紀子, 久保田直行, 坂田泰典, “対話型遺伝的アルゴリズムによるパートナーロボットのジェスチャー学習”, ロボティクス・メカトロニクス講演会2014 in Toyama, 講演論文集(CD-ROM), 2A1-M03, May 25-29, 2014.
6. 吉原ゆり, 久保田直行, 情報構造化空間に基づく人間行動計測, ロボティクス・メカトロニクス講演会2014 in Toyama, 講演論文集(CD-ROM), 1P2-G03, May 25-29, 2014.
7. 戸田雄一郎, 久保田直行, Growing Neural Gasの一括学習化に関する検討, 計測自動制御学会 第２０回創発システム・シンポジウム, 長野, August 31-September 2, 2014.
8. 岩朝睦美, 戸田雄一郎, 久保田直行, 対話型遺伝的アルゴリズムを用いたロボットパートナーのジェスチャデザイン支援, 第30回ファジィシステムシンポジウム, September1-3, 2014.
9. 郭位龍, 禹珍碩, 久保田直行, ロボットパートナーを用いた人間状態に基づく対学習システム, 第３０回ファジィ システムシンポジウム講演論文集(CD-ROM), MA1-5, 高知城ホール, September 1-3, 2014.
10. 吉田尚悟, 久保田直行, GNGに基づくコミュニケーションのための発話選択モデル, 第32回日本ロボット学会学術講演会, 3C1-01, 九州産業大学, September 4-6, 2014.
11. 島崎惇, 久保 直行, IEC-based嗜好抽出技術を用いた口コミ型推薦システム, 第24回インテリジェント・システム・シンポジウム(FANシンポジウム)講演論文集, 北見工業大学, September 18-19, 2014.
12. 日下純也, 大保武慶, 久保田直行, 計算論的システムリハビリテーションに基づく関節角度推定システム, 第24回インテリジェント・システム・シンポジウム(FANシンポジウム)講演論文集, 北見工業大学, September 18-19, 2014.
13. 武田隆宏, 吉田尚悟, 松尾優成, 和田一義, 久保田直行, ロボットパートナーによるコミュニティ活性化への検討, 第 57回自動制御連合講演会, pp. 2008-2013, 2014．
14. 日下純也, 大保武慶, 久保田直行, 計算論的システムリハビリテーションにおける動作解析のための進化型多目的最適化, 第27回計算力学講演会(CMD2014), November 22-24, 2014.
15. 松尾 優成, 武田 隆宏, 久保田 直行, “自己効力感の精密な予測に基づくロボットパートナーを用いた健康づくり支援”, 2014年度精密工学会北陸信越支部学術講演会, November 22, 2014.
16. 戸田雄一郎, 久保田直行, Batch Learning Growing Neural Gasによる3次元点群の位相構造学習, ビジョン技術の実利用ワークショップ ViEW2014, IS1-33, 神奈川, December4-5, 2014.
17. 高瀬紀子, 佐藤星児, 武田隆宏, 久保田直行, “多足歩行ロボットの転倒時における起き上がり動作の自動生成” , 第１５回計測自動制御学会システムインテグレーション部門講演会, 講演論文集(USB), 2F3-6, pp.1377-1380, 東京都, ビッグサイト, December 14-17, 2014.
18. 松尾優成, 武田隆宏, 小野彩佳, 和田一義, 久保田直行, “自己効力感に基づくロボットパートナーを用いた健康づくり支援”, 第15回システムインテグレーション部門講演会, pp.2028-2032, 2014.
19. 中村佳雅, 唐達頼, 久保田直行, シニアカーを用いた高齢者の外出支援システムの提案, 第１５回計測自動制御学会システムインテグレーション部門講演会, pp.1452-1456, 東京都, ビッグサイ ト, December14-17, 2014.
20. 馬渕琢弥,  島崎淳, 武田隆宏, 久保田直行, 失語症患者のためのリハビリテーションシステム , 第１５回計測自動制御学会システムインテグレーション部門講演, pp.1875-1878, 東京都, ビッグサイト, December14-17, 2014.
21. 三木俊介, 松尾優成, 久保田直行, ロボットパートナーにおける視点概念導入の検証, 第１５回計測自動制御学会システムインテグレーション部門講演会, pp.2243-2246, 東京都, ビッグサイト, December 14-17, 2014.
22. ユスフバクティアル, 禹珍碩, 武田隆宏, ヤノスボッツハイム, 久保田直行, 高齢者支援のための共感を持ったロボットパートナー, 第31回ファジシステムシンポジウム, pp 25-28, 東京都電気通信大学, September 2-4, 2014.

2013

1. 大保武慶, 柿谷隆太, 久保田直行, 松田雅弘, 二瓶篤史, タブレットPCを用いたリハビリテーション評価のための視線計測システム, 第57回システム制御情報学会研究発表講演会論文集(CD-ROM), 兵庫, May 15-17, 2013.
2. 久保田直行, 大保武慶, 計算論的システムリハビリテーションと情報構造化空間, 第57回システム制御情報学会研究発表講演会論文集(CD-ROM), 兵庫, May 15-17, 2013.
3. 日下純也, 大保武慶, 久保田直行, 松田雅弘, 二瓶篤史, 距離画像センサを用いたリハビリテーション評価支援のための動作計測および可視化, ロボティクス・メカトロニクス講演会2013(ROBOMEC2013), 講演論文集(CD- ROM), 1A1-M07, 茨城, May 22-25, 2013.
4. 吉田尚悟, 久保田直行, SNSを用いたロボットパートナーのコミュニケーションのための表情表出に関する研究, ロボティクス・メカトロニクス講演会2013(ROBOMEC2013), 講演論文集(CD-ROM), 2P1-P20, 茨城, May 22-25,  2013.
5. 清水祐貴, 吉田尚悟, 久保田直行, 情報構造化空間に基づくロボットパートナーを用いた商店活性化支援, 第31回日本ロボット学会学術講演会, 講演論文集(CD-ROM), 2H2-4, 東京, September 4-6, 2013.
6. 碩南, 久保田直行, すれ違い通信に基づく災害時情報伝達シミュレーション(Direct Communication based Information Transfer Simulation in EmergenceSituation), 第23回インテリジェント・システム・シンポジウム(FAN 2013), 講演論文集(CD-ROM), ST-13-041, 九州, September 25-26, 2013.
7. 戸田雄一郎, 久保田直行, Growing Neural Gas に基づく 3 次元点群処理, ビジョン技術の実利用ワークショップ ViEW2012, IS1-E6, 神奈川, December 5-6, 2013.

2012

1. 高瀬紀子, 大保武慶, ボッツハイム・ヤノシュ, 久保田直行, 移動ロボットのための進化型スパイキングニューラルネットワーク, 第38回ファジィワークショップ, 講演論文集 (CD-ROM), pp.246-249, 東京, March 16-18, 2012.
2. 野本優希, 和田一義, 大保武慶, 久保田直行,見守りロボットの会話コンテンツ開発, ロボティクス・メカトロニクス講演会2012(ROBOMEC2012), 講演論文集(CD-ROM), 1A2-P11, 静岡，May27-29, 2012.
3. 小松里佳子, 大保武慶, 久保田直行, 情報構造化空間におけるライフログ知的管理システム, ロボティクス・メカトロニクス講演会2012(ROBOMEC2012), 講演論文集(CD-ROM), 1A2-R04, 静岡, May27-29, 2012.
4. 鈴木慎太郎，戸田雄一郎，久保田直行，地図情報を用いたマルチロボットの進化戦略による自己位置推定，ロボティク ス・メカトロニクス講演会2012(ROBOMEC2012), 講演論文集(CD-ROM), 1A2-R03, 静岡，May 27-29,2012.
5. 坂田泰典，久保田直行，スマートフォンを用いたロボットパートナーのためのマルチモーダルコミュニケーション，ロボ ティクス・メカトロニクス講演会2012(ROBOMEC2012)，講演論文集(CD-ROM)，1A1-O05，静 岡，May27-29，2012.
6. 唐達頼，久保田直行，クラウドサービスを用いたロボットパートナーによる情報支援,H24年度第 1 回クラウドネットワークロボット研究会,信学技報（IEICE Techical Rport）CNR2012-3,慶應義塾大学 吉日キャンパス，June，2012.
7. 禹珍碩，島崎惇，久保田直行，ユーザの状況に基づいたロボットパートナーの対話システム，第22回FANシンポジウ ム，講演論文集(CD-ROM)，1A1-5，沖縄，August 30-31，2012.
8. 碩 南，江端 雄飛，唐 達頼，久保田 直行,災害地におけるすれ違い通信を用いた局所情報伝達システム（Information Support System Use Cross-byCommunication In Emergence Situation），第22回FANシンポジウム，講演論文集(CD-ROM)，1A1-5，沖縄，August 30-31，2012.
9. 大保武慶, 久保田直行, 自己増殖型ニューラルネットワークを用いたジェスチャ認識のための注視領域抽出, 第30回日本ロボット学会学術講演会, 講演論文集(CD-ROM), 2H3-4, 札幌, September 17-20, 2012.
10. 吉田尚悟, 久保田直行, ソーシャルメディアを用いたロボットパートナーの対話システム, 第30回日本ロボット学会学術講演会, 講演論文集(CD-ROM)，2H3-5，札幌, September 17-20, 2012.
11. 戸田雄一郎, 安田寛, 坂田泰典, 久保田直行, 人に優しい遠隔操作のための人の意図に基づくナビゲーションシステム，FSS2012，講演論文集(CD-ROM), pp.1026-1031,愛知，September 12-14，2012.
12. 高瀬紀子，ボッツハイム　ヤノシュ，久保田直行，進化的計算を用いた多足ロボットの歩行生成，日本シミュレーション ＆ゲーミング学会全国大会，論文報告集2012年秋号, pp.81-84，東京，October 19-20，2012.
13. 大西健太郎，豊田恭平，高瀬紀子，一色裕也，藤原俊弥，萩原忠，山田國裕，久保田直行，エデュテイメントによる人工 生物の歩行方法の設計，日本シミュレーション＆ゲーミング学会全国大会，論文報告集2012年秋号, pp.87-92,東京，October19-20，2012.
14. 戸田雄一郎， 久保田直行, 3 次元環境地図構築のための Evolution Strategy Sample Consensus (ESSAC), ビジョン技術の実利用ワークショップ ViEW2012, IS2-C10,神奈川，December 5-6，2012.

2011

1. 安田寛, 久保田直行, バネモデルを利用したロボットパートナーの行動制御, ロボティクス・メカトロニクス講演会2011(ROBOMEC2011), 講演論文集(CD-ROM), 2A1-D06, May, 26-28,2011.
2. 大保武慶, 久保田直行, スパイキングニューラルネットワークに基づく行動推定のためのオンライン学習機構の構築,ロボティクス・メカトロニクス 講演会2011(ROBOMEC2011), 講演論文集(CD-ROM), 2P1-J08, May, 26-28, 2011.
3. 戸田雄一郎, 久保田直行, Multi-resolution Mapを用いた未知環境の探査, ロボティクス・メカトロニクス講演会2011(ROBOMEC2011), 講演論文集(CD-ROM), 2P1-K07, May, 26-28,2011.
4. 檜皮えりこ，青木理，久保田直行，半側空間無視のための診断補助システムのボール出現パターンの開発，第21 回インテリジェント・システム・シンポジウム(FAN2011), 講演論文集(CD-ROM),　神戸，September 1-2, 2011.
5. 唐達頼，坂田泰典，寄田明宏，久保田直行, 高齢者の個人差に対応したロボットパートナによる情報支援システム, 第21 回インテリジェント・システム・シンポジウム(FAN2011), 講演論文集(CD-ROM)，神戸，September 1-2, 2011.
6. 禹珍碩, 久保田直行, 高齢者のためのロボットパートナーによる見守り支援の適応可能性,第19回日本介護福祉学会大会, 講演論文集(CD-ROM)， 東京,September 3-4, 2011.
7. 西村工，久保田直行，成田翔，対話型遺伝的アルゴリズムを用いたロボットの感情表現デザイン支援，第29回日本ロ ボット学会学術講演会，講演論文集(CD-ROM)，3H2-2, 東京都，September 7-9，2011.
8. 成田翔,　久保田直行, 戸田雄一郎, 距離画像センサによる3次元自己位置推定, 第29回日本ロボット学会学術講演会, 講演論文集(CD-ROM)，東京都，September 7-9, 2011.
9. 大保武慶, 久保田直行, 澤山智之, 谷口和彦，状態推定のためのスパイキングニューラルネットワークに基づくオンライン学習，FSS2011，講演論文集 (CD-ROM)，福井県，September 12-14，2011.
10. 田島香織, 久保田直行,スローイング技術向上のためのフライングディスクシミュレータ，FSS2011，講演論文集(CD- ROM)P2-08，福井県，September 12-14，2011.
11. 鈴木慎太郎，碩南，戸田雄一郎，久保田直行，災害時におけるスマートフォンを活用した局所通信システムのための情報 伝達シミュレーション，第4回横幹連合コンファレンス，講演論文集(CD-ROM)，石川県，November 28-29, 2011.
12. 坂田泰典, 禹珍碩, 久保田直行, 情報構造化空間に基づくロボットパートナーを用いた見守り対話システム, 第4回横幹連合コンファレンス, 講演論文集(CD-ROM)，石川県， November 28-29, 2011.
13. 増山直輝，久保田直行，複数台カメラを利用した読唇補助システムの開発，第12回 計測自動制御学会システムインテグレーション部門講演会 (SI 2011), 講演論文集 (CD-ROM), 2B2-4, 京都,December 23-25, 2011.
14. 青木理，檜皮えりこ，久保田直行，タッチインタフェースの半側空間無視リハビリテーションへの適用可能性，第12回 計測自動制御学会システムインテグレーション部門講演会 (SI 2011), 講演論文集 (CD-ROM), 2D1-5, 京都,December 23-25, 2011.

2010

1. 成田　翔，久保田　直行，距離情報と色情報の統合による3次元モデリング，第35回ファジィ・ワークショップ, 講演論文集， p79-82, March 19-20，2010．
2. 寄田　明宏，久保田　直行，認知発達するロボットと人間の対話，第35回ファジィ・ワークショップ，講演論文集， pp.73-78，March 19-20，2010．
3. 戸田　雄一郎，久保田　直行，iPhoneを用いた全方位移動ロボットの遠隔操作，第35回ファジィ・ワークショッ プ，講演論文集，p55-58，March 19-20，2010.
4. 福永征夫,久保田直行,教育における設計とシステム思考－未来を開くのは、人間の構成的な能力を蓄えて引き出す、個 人と社会の忍耐力－,日本シミュレーション＆ゲーミング学会全国大会論文報告集,2010年春 号,pp.8-11,June 11-12, 2010.
5. 寄田明宏,馬場則夫,山田圀裕,久保田直行,ロボットエデュテインメントにおける自己実現と自己効力感,日本シミュ レーション＆ゲーミング学会全国大会論文報告集,2010年春号,pp.18-21,June 11-12, 2010.
6. 小池泰路,當間嗣治,清水寛一,結城修,寄田明宏,久保田直行,山田圀裕,ロボットを使用した理数シミュレーション 教育,日本シミュレーション＆ゲーミング学会全国大会論文報告集,2010年春号,pp.24-27,June 11-12, 2010.
7. 寄田明宏,橋本卓弥,小林宏,久保田直行,ロボットエデュテインメントのための情報構造化空間,シミュレーション＆ ゲーミング学会全国大会論文報告集,2010年春号,pp.70-73,June 11-12, 2010.
8. 小松里佳子,久保田直行,iPhoneを用いたアルティメットシミュレータのためのヒューマンインタフェース,ロボ ティクス・メカトロニクス講演会2009(ROBOMEC2009),講演論文集(CD-ROM),1P1- C22,June 14-16,2010．
9. 田島香織,増田寛之,久保田直行,フライングディスクシミュレータにおけるタイミングの協調行動,ロボ ティクス・メカトロニクス講演会2009(ROBOMEC2009),講演論文集(CD-ROM),1P1- C23,June 14-16,2010．
10. 檜皮えりこ,増田寛之,田島香織,久保田直行,距離画像センサを用いた人間の動作計測のための計算的知能,ロボティ クス・メカトロニクス講演会2009(ROBOMEC2009),講演論文集(CD-ROM),2A1- C13,June 14-16,2010．
11. 大保武慶, 久保田直行, 情報構造化空間のための知的センサネットワーク, 第26回 ファジィシステムシンポジウム(FSS2010), 講演論文集(CD-ROM), September 13-15, 2010.
12. 大保武慶, 久保田直行, 情報構造スパイキングニューラルネットワークを用いた人間状態計測システム, 第26回 ファジィシステムシンポジウム(FSS2010), 講演論文集(CD-ROM), September 13-15, 2010.
13. 大保武慶, 谷口和彦, 澤山智之, 久保田直行, 計算的知能に基づく測域センサを用いた人間追従, インテリジェント・システム・シンポジウム(FAN2010), S7-3-5, 東京, September 25-26,2010.
14. 禹珍碩, 久保田直行, パートナーロボットのためのSLAMにおける SSGAの適用可能性, インテリジェント・システム・シンポジウム(FAN2010), 東京, September 25-26, 2010.
15. 増田寛之, 久保田直行, 知覚-行為循環に基づく知覚システムのための学習, インテリジェント・システム・シンポジウム(FAN2010), No. 118, 東京，September 25-26, 2010.
16. 森武, 久保田直行, マルチモーダルコミュニケーションを用いたパートナーロボットによる人間の意図理解, インテリジェント・システム・シンポジウム(FAN2010), 講演論文集(USB), S2-3-3, 東京, September 25-26,2010.
17. 寄田明宏, 久保田直行, 小学校におけるロボット援用教育, インテリジェント・システム・シンポジウム（FAN2010）, 講演論文集 (USB), No.140, 東京, September25-26, 2010.
18. 戸田 雄一郎, 久保田直行, “ロボットパートナーのための遠隔操作における実時間SLAM”, インテリジェント・システム・シンポジウム(FAN2010), 講演論文集(USB), 首都大学東京,東京，September 25-26, 2010.
19. 矢口愛子, 久保田直行, パートナーロボットによる状況に応じた音場に基づく情報支援, インテリジェント・システム・シンポジウム(FAN2010), No. 146, 東京, September 25-26, 2010.
20. 西村工, 久保田直行, 対話型進化的計算によるロボットデザイン支援, Designシンポジウム2010論文集(USB), dss10-0056, 東京, November 25-26, 2010.
21. 石川詩樹, 久保田直行, ロボットパートナーとのインタラクションを通じた状況依存選曲システム, HAIシンポジウム2010(HAI-2010), 3B-1(USB), 横浜, December 12-15, 2010.
22. 安田寛, 久保田直行, 動的環境の探索におけるマルチロボットの適応フォーメーション, 第11回 計測自動制御学会システムインテグレーション部門講演会 (SI 2010), 講演論文集 (CD-ROM), 2I1-1, 東北大学川内キャンパス, December 23-25, 2010.
23. 安田寛, 久保田直行, バネモデルを利用した再構成可能なマルチロボットフォーメーション, 第11回 計測自動制御学会システムインテグレーション部門講演会 (SI 2010), 講演論文集 (CD-ROM), 2L3-1, 東北大学川内キャンパス, December 23-25, 2010.

2009

1. 我妻優喜, 久保田直行, マルチロボットのファジィ制御による知的行動, 第33回ファジィ･ワークショップ, pp. 34-35,東海大学湘南キャンパス, March 15-17, 2009.
2. 森武, 久保田直行, ボルツマン選択を用いたロボットコミュニケーションのために話題決定、ロボティクス・メカトロニクス講演会 2009(ROBOMEC2009),講演論文集(CD-ROM), 1P1-E22, May 24-26, 2009.
3. 大保武慶, 久保田直行, 人間追従のための分散センシングに基づくセンサフュ―ジョン,ロボティクス・メカトロニクス講演会 2009(ROBOMEC2009),講演論文集(CD-ROM), 2A2-E22, May 24-26, 2009.
4. 寄田明宏, 久保田直行, ファジィ評価を用いた進化的ロボットビジョン, 第25回 ファジィシステムシンポジウム(FSS2009), 講演論文集(CD-ROM), 100152, July 14-16, 2009.
5. 増田寛之, “人とのインタラクションに基づく食器片付けのためのロボットアーム制御”, 第27 回日本ロボット学会学術講演会, September 15-17, 2009.
6. 久保田直行，iPod touch を用いたパートナーロボットのためのヒューマンインタフェース，インテリジェンス・システム・シンポジウム (FAN2009),A3-3,September 17-18,2009.
7. 寄 田明宏、脇阪史帆，久保田直行，橋本卓弥, 小林宏, 計算的知能に基づくパートナーロボットを用いた小学校における体験学習,日本シミュレーション&ゲーミング学会全国大会論文報告集 2009年秋号, pp. 34-37 横浜国立大学, December 4-5,2009.
8. 檜皮 えりこ，増田 寛之，久保田 直行, 物体認識のための距離画像センサを用いた能動知覚，第10回　計測自動制御学会システムインテグレーション部門講演会 (SICE2009)，講演論文集(CD-ROM)，1D4-6，December 24-26, 2009.
9. 唐 達頼，久保田 直行，パートナーロボットのためのwebインテリジェンスに基づく情報支援システム，第10回　計測自動制御学会システムインテグレーション部門講演会 (SICE2009)，講演論文集(CD-ROM)，2I2 -3, December 24-26, 2009.
10. 我妻 優喜，久保田 直行，マルチロボットのための知的フォーメーション形成，第10回　計測自動制御学会システムインテグレーション部門講 演会(SICE2009)，講演論文集(CD-ROM)，2I2-5, December 24-26, 2009.
11. 寄田 明宏，久保田 直行，パートナーロボットの対話による相関学習とPruning，第10回　計測自動制御学会システムインテグレーショ ン部門講演会(SICE2009)，講演論文集(CD-ROM)，3H2-1, December 24-26, 2009.
12. 結 城 幸大，久保田直行，計算知能を用いたパートナーロボットのための地図構築と自己位置推定，第10回　計測自動制御学会システムインテグレーション部門講演会 (SICE2009)，講演論文集(CD-ROM)，3H2-2, December 24-26, 2009.
13. 増田 寛之，檜皮 えりこ，久保田 直行，距離画像カメラを用いたロボットアーム制御のための環境知覚，第10回　計測自動制御学会システムインテグレー ション部門講演会(SICE2009)，講演論文集(CD-ROM)，3I1-3， December 24-26, 2009.

2008

1. 小澤槙也, 久保田直行, タッチパネルを用いた遠隔操作ロボットのためのインタフェース, ロボティクス・メカトロニクス講演会 2008 講演論文集(CD-ROM), 2P2-E14, 長野市若里多目的スポーツアリーナ ビッグハット,June 5-7, 2008.
2. 脇阪史帆, 久保田直行, 感情モデルに基づく人間との相互作用のための知覚システム, ロボティクス・メカトロニクス講演会 2008 講演論文集(CD-ROM), 1P1-G04, 長野市若里多目的スポーツアリーナ ビッグハット,June 5-7, 2008.
3. 佐々木裕宣, 久保田直行, 谷口和彦, 移動ロボットのための位相構造に基づく地図の構築とGAを用いた自己位置推定, ロボティクス・メカトロニクス講演会2008講演論文集(CD-ROM), 2P1-H21, 長野市若里多目的スポーツアリーナ ビッグハット, June 5-7, 2008.
4. 佐藤央, 久保田直行, 機能性の評価を考慮した意匠設計支援システムの開発, 情報処理学会研究報告[システム評価]2008-EVA-25, pp.23-28, 東海大学 高輪キャンパス, June 27, 2008.
5. 増田寛之, 久保田直行, 山口亨, アームロボットを用いた食器片付け作業のための知的制御, 第31回ファジィワークショップ講演論文集, pp.1-4, 2008.
6. 佐々木裕宣, 久保田直行, 複数台ロボットのための位相構造に基づくSLAMアルゴリズム, 第31回ファジィワークショップ講演論文集, pp.5-8, August 1-2, 2008.
7. 唐達頼, 久保田直行, 情報構造化空間におけるパートナーロボットの視覚情報の可視化, 第24回ファジイシステムシンポジウム講演会論文集, pp. 684-689, 大阪, September 3-5, 2008.
8. 寄田明宏，久保田直行，情報構造化空間における人間とロボットの相互作用に基づく相関学習，第26回日本ロボット学 会学術講演会論文集，2N2-03，神戸大学，September 9-11, 2008.
9. 増 田寛之, 久保田直行, 山口亨, 3次元距離カメラを用いた知覚-行為循環に基づく環境知覚, 第18回インテリジェント・システム・シンポジウム(FAN 2008)論文集, pp. 409-414, 広島県情報プラザ, October 23-24, 2008.
10. 寄田明宏, 矢口愛子, 久保田直行, 認知症進行抑制のための計算的知能に基づく対話とゲーム, 日本シミュレーション&ゲーミング学会全国大会論文報告集 2008年秋号, pp. 93-98, 千葉工業大学 津田沼キャンパス,October 25-26, 2008.
11. 賈成達, 久保田直行, パートナーロボットのための特徴点に基づく画像認識とセンサフュージョン, HAIシンポジウム2008 講演論文集(CD-ROM), 2C-1, 慶応義塾大学日吉キャンパス来往舎, December 3-4,2008.
12. 寄田明宏, 久保田直行, ロボットの知覚情報を関連づける情報構造化空間における学習, 第９回（社）計測自動制御学会システムインテグレーション部門 講演会論文集, pp. 79-80, December 5-7, 2008.
13. 檜皮えりこ, 増田寛之, 久保田直行, 距離画像センサを用いた物体認識のための知的制御, 第９回（社）計測自動制御学会システムインテグレーション部門 講演会論文集, pp. 1061-1062, December 5-7,2008.

2007

1. 相沢直秀, 久保田直行, 人間と相互作用するマルチロボットの知的フォーメーション, 第19回自律分散システム・シンポジウム資料, pp.109-114, 東京工業大学, January 29-30, 2007.
2. 佐々木裕宜, 脇阪史帆, 久保田直行, 歩行ロボットのための対話型進化的計算, 第28回ファジーワークショップ-次世代の知的処理へ-講演論文集,　pp.95-96,首都大学東京, March 9-10,2007.
3. 久保田直行, 小澤槙也, 冨岡有, 清水俊之, Edutainmentロボットによる学びの実践, 第28回ファジィワークショップ-次世代の知的処理へ-講演論文集, pp.97-98, 首都大学東京南大沢キャンパス, March 9-10,2007.
4. 冨岡有, 久保田直行, パートナーロボットによるジェスチャ認識のための計算的知能, ロボティクス・メカトロニクス講演会 2007 講演論文集(CD-ROM), 1A2-O08, 秋田拠点センターALVE, May 10-12,2007.
5. 里見将志, 久保田直行, 進化的ロボットビジョンに基づく環境情報抽出, ロボティクス・メカトロニクス講演会 2007 講演論文集(CD-ROM), 2A2-K10, 秋田拠点センターALVE, May 10-12, 2007.
6. 増田寛之, 久保田直行, 測距情報と画像を用いた移動ロボットの知的制御, 第17回インテリジェント・システム・シンポジウム(FANシンポジウム)講演論文集, pp.469-474, 愛知工業大学, August10-11, 2007.
7. 佐々木 裕宣, 久保田 直行, 複数の進化型ロボットを用いた行動学習と環境知覚, 第17回インテリジェント・システム・シンポジウム(FANシンポジウム)講演論文集, pp.223-226, 愛知工業大学, August10-11, 2007.
8. 増田寛之, 久保田直行, 冗長センサ情報を持つ移動ロボットのための環境知覚， 第23回ファジィシステムシンポジウム講演論文集, pp.383-386, 名城大学, August 29-31, 2007.
9. 増田寛之, 久保田直行, パートナーロボットの人間追従のための進化的ロボットビジョン， 第23回ファジィシステムシンポジウム講演論文集, pp.469-474, 名城大学, August 29-31, 2007.
10. 小 嶋宏幸, 久保田直行, 谷口和彦, 安心センサにおけるスパイキングニューラルネットワークを用いた状態推定, 平成19年 電気学会電子・情報・システム部門大会講演論文集, pp.963-964, 大阪府立大学 中百舌鳥キャンパス, September 4-5, 2007.
11. 神津大介, 里見将志, 久保田直行, 測距センサとCCDセンサを用いた移動ロボットの情報抽出,第25回日本ロボット学会学術講演会論文集, 1C23, 千葉工業大学,September 13-15, 2007.
12. 増田寛之，久保田直行, 測距情報を用いた移動ロボットの知覚に基づく制御, システム・情報部門学術講演会2007講演論文集, pp. 121-124, 国立オリンピック記念少年総合センター, November26-28, 2007.
13. 久保田直行, 相沢直秀, 力学モデルに基づくマルチエージェントの隊列移動, 第2回横幹連合コンファレンス予稿集, pp. 121-124, 京都大学 百周年時計台記念館, November 29-30, 2007.
14. 脇 阪史帆, 久保田直行, 情動モデルに基づくパートナーロボットのための知覚システム, Human-Agent InteractionSymposium 2007 (HAIシンポジウム 2007) 論文集，2a-3， 慶應義塾大学, December 5-6, 2007.
15. 久保田直行, 人間と情報構造化空間の相互関係, 第8回 (社) 計測自動制御学会システムインテグレーション部門講演会 (SI2007) 論文集, pp. 95-96, 広島国際大学 国際教育センター,December 20-22, 2007.
16. 清 水俊之, 久保田直行, 人間との相互作用に基づく模倣学習のための計算的知能,第8回 (社)計測自動制御学会システムインテグレーション部門講演会 (SI2007) 論文集, pp. 97-98, 広島国際大学 国際教育センター, December 20-22, 2007.
17. 寄田明宏, 久保田直行, 人間とロボットの対話による認知発達,第8回 (社) 計測自動制御学会システムインテグレーション部門講演会 (SI2007) 論文集, pp. 573-574, 広島国際大学 国際教育センター,December 20-22, 2007.

2006

1. 伊藤善博, 小嶋宏幸, 久保田直行, 人間とコミュニケーションする複数ロボットの自律分散的制御, 第18回自律分散システム・シンポジウム, 2006.1.26-27.
2. 西田謙一郎, 久保田直行, スパイキングニューロンを用いた予測に基づく視知覚, 電子情報通信学会技術研究報告 NC2005-151-173, pp.79-84, 2006.3.17.
3. 小嶋宏幸, 久保田直行, パートナーロボットの画像処理による発話ｼｽﾃﾑを用いた英会話教育, 第26回ファジィ・ワークショップ講演論文集, pp.39-40, 2006.3.18.
4. 久保田直行, 桑原暢, パートナーロボットのための状況依存的効果音, 第26回ファジィ・ワークショップ講演論文集, pp.41-42, 2006.3.18.
5. 久保田直行, 矢野恵美子, 小嶋宏幸, 初等教育におけるパートナーロボットとのインタラクション及びその適応評価, 第26回ファジィ・ワークショップ講演論文集, pp.43-44,2006.3.18
6. 久保田直行, 川村一, パートナーロボットを用いた状況推定によるインタラクション, 第26回ファジィ・ワークショップ講演論文集, pp.49-50, 2006.3.18.
7. 清水俊之, 久保田直行, 見まね学習におけるSSGAとMNNを用いた軌道学習, ロボティクス・メカトロニクス講演会 2006 講演論文集(CD-ROM), 1P1_E06, 早稲田大学, May 26-28, 2006.
8. 小嶋宏幸, 久保田直行, パートナーロボットを用いた画像処理による発話学習, ロボティクス・メカトロニクス講演会 2006 講演論文集(CD-ROM), 2A1_C25, 早稲田大学, May 26-28, 2006.
9. 神津大介, 久保田直行, 谷口和彦, 野川保次, OAフロア下の床下環境において作業を行う遠隔操作移動ロボット, ロボティクス・メカトロニクス講演会 2006 講演論文集(CD-ROM),2P1_D22, May 26-28, 2006.
10. 清水俊之, 冨岡有, 久保田直行, モジュラーニューラルネットワークを用いたパートナーロボットの対話的軌道生成, 第22回ファジィシステムシンポジウム講演論文集,pp.123-128, 北海学園大学, September 6-8, 2006.
11. 小嶋宏幸, 相沢直秀, 久保田直行, パートナーロボットを用いた社会的コミュニケーションのための発話学習, 第22回ファジィシステムシンポジウム講演論文集, pp.555-560, 北海学園大学, September 6-8, 2006.
12. 西田謙一郎, 久保田直行, パートナーロボットのスパイキングニューロンを用いた予測に基づくコミュニケーション,第16回インテリジェント・シス テム・シンポジウム講演論文集, pp.325-330, 2006.9.27.
13. 久保田直行, 相沢直秀, 小嶋宏幸, 人間と相互作用するマルチロボットの知的フォーメーション, 日本シミュレーション＆ゲーミング学会全国大会論文報告書2006年秋号, pp.161-164, 京都, October 11-12,2006.
14. 小嶋宏幸, 相沢直秀, 久保田直行「パートナーロボットの対話のための計算的知能」, 日本シミュレーション＆ゲーミング学会全国大会論文報告書2006年秋号, pp.157-160, 京都, October 11-12,2006.
15. 久保田直行, 西田謙一郎, センサネットワークを用いたパートナーロボットの知覚システム, 第49回自動制御連合講演会論文集, SU4-3-5, 神戸大学, November 25-26, 2006.

2005

1. 久保田直行, 加藤至喜, 谷口和彦, 床下作業ロボットの知的行動制御, 日本機械学会 関東支部 第11期 総会講演会 講演論文集, pp.331-332, 2005.3.18.
2. 伊藤善博, 久保田直行, 身体性に基づく移動ロボットのための視覚ナビゲーション, 第24回ファジィ・ワークショップ講演論文集, pp.43-46, 2005.3.19.
3. 佐々木祐宣, 久保田直行, 動的環境下でのFuzzy Spiking Neural Networkを用いた移動ロボットの行動学習, 第24回ファジィ・ワークショップ講演論文集, pp.47-50, 2005.3.19.
4. 上野康次, 久保田直行, ファジィ制御を用いたサッカーロボットの共進化学習, 第24回ファジィ・ワークショップ講演論文集, pp.17-20, 2005.3.19.
5. 上島伸一, 久保田直行, 視知覚に基づくサッカーロボットの多目的行動調停, 日本機械学会 関東支部 第11期 総会講演会 講演論文集, pp.255-256, 2005.3.19.
6. 西田謙一郎, 久保田直行, パートナーロボットのためのニューロファジィコンピューティングを用いた人間識別, 第24回ファジィ・ワークショップ講演論文集, pp.85-88, 2005.3.20.
7. 久保田直行, 西田謙一郎, パートナーロボットのコミュニケーションのための相互認知環境, 第5回計測自動制御学会制御部門大会 資料,pp.487-490, 2005.5.26.
8. 西田謙一郎, 久保田直行, 知覚に基づく人間-ロボット協調のための対話, ロボティクス・メカトロニクス講演会 2005 講演論文集(CD-ROM),2A1-N-058, 2005.6.10.
9. Indra Adji Sulistijono, 久保田直行, 自己組織化マップとバックプロパゲーションに基づくパートナーロボットの人間識別, 第21回ファジィシステムシンポジウム講演論文集,pp.266-269, 2005.9.7.
10. 久保田直行, 清水俊之, パートナーロボットの人間検出のための視知覚, 第21回ファジィシステムシンポジウム講演論文集, 8D2-2, 2005.9.8.
11. 久保田直行, 清水俊之, 模倣に基づく行動モデル生成と学習,日本応用数理学会 2005年度年会 講演予稿集, pp.48-49, 2005.9.23.
12. 西田謙一郎, 小島宏幸, 久保田直行, 環境に制約された対話のためのパートナーロボットのための知覚, 第15回インテリジェント・システム・シンポジウム講演論文集, pp.397-402, 2005.9.27.
13. 上島伸一, 久保田直行, 谷口和彦, 視覚に基づく移動ロボットのための状態遷移に基づく遠隔操作補助, 第15回インテリジェント・システム・シンポジウム講演論文集, pp.403-406, 2005.9.29.
14. 友田恭太郎, 久保田直行, ニューラルネットワークに基づく見まね学習のための軌道生成及びその学習, 日本シミュレーション＆ゲーミング学会 全国大会論文報告書 2005年秋号, pp.109-112, 2005.10.12.
15. 久保田直行, 小嶋宏幸, ロボットとのコミュニケーションによる英会話教育, 2005年度学術講演会発表論文予稿集(CD-ROM), 11月18日 B-③, 2005.11.18.
16. 阿部稔, 久保田直行, 進化的計算に基づくパートナーロボットのためのジェスチャー認識, 2005年度 計測自動制御学会 システムインテグレーション部門 講演論文集(CD-ROM), 2G3-8, 2005.12.17.

2004

1. 佐々木祐宣, 久保田直行, スパイキングニューラルネットワークを用いたパートナーロボットのナビゲーション, 第４８回システム制御情報学会研究発表講演会論文集, pp.625-626, 2004.5.21.
2. 上島伸一, 久保田直行, 進化的計算を用いた視知覚に基づく移動ロボットのファジィ制御, 第48回システム制御情報学会研究発表講演会論文集, pp.631-632, 2004.5.21.
3. 久保田直行, 能島裕介, 小島史男, パートナーロボットの見まね学習のための知覚システム, 第20回ファジィシステムシンポジウム講演論文集, pp.398-403, 2004.6.2-3.
4. 阿部稔, 久保田直行, パートナーロボットの見まね学習のための計算的知能, ロボティクス・メカトロニクス講演会 2004 講演論文集(CD-ROM), P2-H-5, 2004.6.20.
5. 伊藤善博, 久保田直行, 移動ロボットのマップビルディングのための環境情報抽出, ロボティクス・メカトロニクス講演会 2004 講演論文集(CD-ROM), P2-H-4, 2004.6.20.
6. 久保田直行, パートナーロボットの構造化学習, KES国際会議日本支部主催第2回講演会講演論文集, pp.9-16, 2004.7.17.
7. 伊藤善博, 久保田直行, 身体性に基づくパートナーロボットのマップビルディング, KES国際会議日本支部主催第2回講演会講演論文集, pp.85-89, 2004.7.17.
8. 上島伸一, 久保田直行, 床下ロボットのための進化的視覚システム, KES国際会議日本支部主催第2回講演会講演論文集, pp.51-52, 2004.7.17.
9. 佐々木祐宣, 久保田直行, スパイキングニューラルネットワークを用いた移動ロボットの行動学習, KES国際会議日本支部主催第2回講演会講演論文集, pp.97-102, 2004.7.17.
10. 久保田直行, 西田謙一郎, ニューラルネットワークを用いたパートナーロボットのコミュニケーション, 第14回インテリジェント・システム・シンポジウム講演論文集, pp.117-122, 2004.10.9.
11. 久保田直行, 上野康次, 実環境とリンクしたパートナーロボットのシミュレーション, 日本シミュレーション＆ゲーミング学会 2004年度秋期全国大会発表論文集, pp.37-40, 2004.11.6.
12. 上島伸一, 久保田直行, 進化的計算を用いた視知覚に基づく移動ロボットのファジィ制御, 計測自動制御学会システムインテグレーション部門講演会講演概要集, p.197, 2004.12.18.
13. 表慎太郎, 久保田直行, パートナーロボットのコミュニケーションのための発話と認識, 計測自動制御学会システムインテグレーション部門講演会講演概要集, p.244, 2004.12.19.
14. 友田恭太郎, 久保田直行, 見まねに基づく人とパートナーロボットのコミュニケーション, 計測自動制御学会システムインテグレーション部門講演会講演概要集, p.244, 2004.12.19.

2003

1. 漆崎陽介, 久保田直行, 強化学習を用いたエージェントとのコミュニケーション, 第47回システム制御情報学会研究発表講演会文集, pp.617-618, 2003.5.14.
2. 久保田直行, 印牧公幸, 構造化学習を用いた知覚-行為循環に基づく移動ロボット, 第47回システム制御情報学会研究発表講演会文集, pp.463-466, 2003.5.14.
3. 久保田直行, 上島伸一, 人間とのコミュニケーションのためのサッカーロボットの記号理解, 第十二回ファジィ学会北信越支部シンポジウム公演論文集, pp.31-34, 2003.9.24-25.
4. 久保田直行, 佐々木祐宣, スパイキングニューロンを用いたパートナーロボットの視覚ナビゲーション, 第十二回ファジィ学会北信越支部シンポジウム公演論文集, pp.35-38, 2003.9.24-25.

2022

1. Wei Hong Chin, Naoyuki Kubota, Chu Kiong Loo, An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building, Cognitive Robotics [Working Title], 10.5772/intechopen.104818, 2022.

2019

1. Jinseok Woo and Naoyuki Kubota, Chapter 11. A Modular Structured Architecture Using Smart Devices for Socially Embedded Robot Partners, Handbook of Research on Advanced Mechatronic Systems and Intelligent Robotics, pp. 288-309, 2019.

2016

1. 久保田直行, 大保武慶, 武田隆宏, スマートデバイス連動型ロボット開発, 人と協働するロボット革命最前線, NTS出版, 2016.

2014

1. Sungshin Kim, Jin-Woo Jung, Naoyuki Kubota (Eds.), Soft Computing in Intelligent Control, Advances in Intelligent Systems and Computing, vol.272, Springer, 2014.

2012

1. Naoyuki Kubota, Learning and Adaptation for Human-friendly Robot Partners in Informationally Structured Space, Advances in Autonomous Mini Robots (edited by Ulrich Ruckert, Joaquin Sitte and Werner Felix), Springer, pp.11-26, 2012．
2. Naoyuki Kubota, Yuichiro Toda, Information Visualization in Intelligent Navigation for Multiple Mobile Robots, Simulation and Modeling Related to Computational Science and Robotics Technology (Proceedings of SiMCRT 2011 ,edited by Fumio Kojima, Futoshi Kobayashi and Hiroyuki Nakamoto) ,IOS Press, pp.120-139, 2012.

2011

1. 久保田直行，23.1ニューラルネットワークを用いた進化論的行動学習，pp.448-453，第II巻応用編：情 報・通信システム, （社）電気学会　進化技術応用調査専門委員編, Nov.30, 2011.

2010

1. 久保田直行, 12.4共進化, pp.1154-158, 15.2進化型ロボティックス, pp,217-222, 進化技術ハンドブック, 第Ⅰ巻基礎編, （社）電気学会　進化技術応用調査専門委員編, Jan.31, 2010.
2. Naoyuki Kubota, Shiho Wakisaka, Emotional Model Based on Computational Intelligence for Partner Robots, Modeling Machine Emotions for Realizing Intelligence, Foundations and Applications, Springer, pp.89-108, May.2010.

2008

1. Naoyuki Kubota, Hiroyuki Masuta, Perceptual System for Partner Robots in Dynamic Environment, Emerging Technologies, Robotics and Control Systems Second edition(International Society for Advanced Research, edited by S.Pennacchio), INTERNATIONALSAR, pp.97-103, 2008.
2. 山口亨，久保田直行，高間康史著，インテリジェントネットワークシステム入門，コロナ社，2008.
3. 久保田直行, ニューロ、ファジィ、GA, 機械工学便覧応用システム編γ7メカトロニクス・ロボティクス, 日本機械学会編, pp. 24-28, 2008.

2007

1. Naoyuki Kubota and Kenichiro Nishida, Intelligent Control of the Perceptual System for Partner Robots, Emerging Technologies, Robotics and Control Systems Volume 2, International Society for Advanced Research (www.internationalsar.org), pp.204-209, 2007.
2. Naoyuki Kubota, Face Detection and Gesture Recognition Based on Ambient Intelligence, Face Recognition, Edited by Kresimir Delac and Mislav Grgic, I-Tech Education and Publishing, Vienna, Austria, pp.261-274, 2007. (http://s.i-techonline.com/Book/Face-Recognition/ISBN978-3-902613-03-5.html)

2006

1. Naoyuki Kubota, Multi-Objective Design of Neuro-Fuzzy Controllers for Robot Behavior Coordination, Multi-Objective Machine Learning (edited by Yaochu Jin), Springer, 2006, pp.557-584.

2005

1. K.Murase, K.Sekiyama, N.Kubota, T.Naniwa, J.Sitte (Eds.), Proc.of the 3rd International Symposium on Autonomous Minirobots for Research and Edutainment , 2005, Springer, 2005.

2004

1. 久保田直行, 知覚-行為循環によるパートナーロボットとのコミュニケーション(パターン・記号統合 基礎と応用-ペットロボットのペットらしさを求めて, 古橋, 萩原編), 丸善株式会社, pp.158-171, 2004.
2. Toshio Fukuda and Naoyuki Kubota, “6.43.38 Robotics,” in Control Systems, Robotics and Automation, edited by H. Unbehauen, in Encyclopedia of Life Support Systems (EOLSS), Developed under the auspices of the UNESCO, Eolss Publishers, Oxford, UK, [http://www.eolss.net]
3. Toshio Fukuda and Naoyuki Kubota, “6.43.38.2 Trajectory and Task Planning,” in Control Systems, Robotics and Automation, edited by H. Unbehauen, in Encyclopedia of Life Support Systems (EOLSS), Developed under the auspices of the UNESCO, Eolss Publishers, Oxford, UK, [http://www.eolss.net]
4. Naoyuki Kubota and Toshio Fukuda, “6.43.38.4 Intelligent Robots,” in Control Systems, Robotics and Automation, edited by H. Unbehauen, in Encyclopedia of Life Support Systems (EOLSS), Developed under the auspices of the UNESCO, Eolss Publishers, Oxford, UK, [http://www.eolss.net]
5. Naoyuki Kubota, Masayuki Kanemaki, Search of Steady-State Genetic Algorithm for Vision-based Mobile Robots, Recent Advances in Simulated Evolution and Learning (Kay Chen Tan, Meng Hiot Lim, Xin Yao, and Lipo Wang edited), World Scientific, pp.729-746, 2004.

2003

1. Fukuda, T. and Kubota, N., Intelligent Learning Robotic Systems Using Computational Intelligence (Computational Intelligence: The Experts Speak, Edited by Fogel, D.B. and Robinson, C.J.), IEEE Press, pp.121-138, 2003.

2000

1. Kubota, N. and Fukuda, T., Virus-Evolutionary Genetic Algorithm for Sequencing Jobs in Fuzzy Environment (Scheduling under Fuzziness), Physica-Verlag, A Springer-Verlag Company, pp.268-289, 2000.
2. 久保田直行, 経路計画への応用(ファジィとソフトコンピューティングハンドブック, 日本ファジィ学会編), 共立出版, pp.977-981, 2000.
3. 久保田直行, 遺伝的アルゴリズム(インテリジェントシステム, 福田敏男編著), 昭晃堂, pp.52-75, 2000.

1999

1. Fukuda, T. and Kubota, N., Self-Organizing Manufacturing Systems Using Genetic Algorithms (Knowledge-Based Intelligent Techniques in Industry, edited by Jain, L.C, Johnson, R.P., Takefuji, Y., and Zadeh, L.A.), CRC Press, pp.225-247, 1999.
2. Fukuda, T. and Kubota, N., Computational Intelligence for Robotic Systems (Recent Advances in Mechatronics, edited by Kaynak, O., Tosunogle, S., and Ang, M. Jr.). Springer, pp.13-26, 1999.
3. Fukuda, T. and Kubota, N., Fuzzy Control Methodology: Basics and State of Art (Fuzzy and Neuro-Fuzzy Systems in Medicine, edited by Teodorescu, H.N., Kandel, A., and Jain, L.C.), CRC Press, pp.3-35, 1999.
4. Fukuda, T., Kubota, N., Shimojima, K., Virus-Evolutionary Genetic Algorithm for Traveling Salesman Problem (Evolutionary Computation: Theory and Applications, edited by Yao, X.), Singapore: World Scientific Publishing. Co., pp.235-255, 1999.

1997

1. Fukuda, T., Kubota, N., and Arakawa, T., GA Algorithms in Intelligent Robots (Fuzzy Evolutionary Computation, edited by Pedrycz, W.), Kluwer Academic Publishers, pp.81-105, 1997.

1996

1. Shimojima, K., Kubota, N., and Fukuda, T., Virus-Evolutionary Genetic Algorithm for Fuzzy Controller Optimization (Genetic Algorithms and Soft Computing, edited by Herrera, F. and Verdegay, J.L.) , Physica-Verlag, A Springer-Verlag Company, pp.369-388, 1996.

2023

1. 久保田直行, 5G 社会を目指したロボット知能化基盤技術,  第 20 回製造・生産システム研究会,  群馬,  2023年3月24日
2. Naoyuki Kubota, Neural Network,  IEEE Region 10 Online Spring School: A Sandbox for Teaching and Learning in CI for Pre-University and Undergrad Students,  2023年3月25日

2022

1. 久保田直行, 人生120年時代のモビリティ（上）, 連載「交通安全・医理工連携の今『世界一』への挑戦」第131回, 日刊自動車新聞, 2022年4月9日
2. 久保田直行, 人生120年時代のモビリティ（下）, 連載「交通安全・医理工連携の今『世界一』への挑戦」第132回, 日刊自動車新聞, 2022年4月16日
3. 久保田直行, AIと私たちの暮らし, 令和４年度小金井市公民館貫井南分館主催高齢者学級「けやき学級」,  小金井市公民館貫井南分館学習室AB,  2022年9月7日
4. Naoyuki Kubota, (Keynote Speech) Computational Intelligence for Multiscopic Topological Twin,  ISCIIA 2022,  2022年9月24日
5. Naoyuki Kubota, (Plenary Talk) Multiscopic Topological Twin in Trailer Living Laboratory,  IEEE CINTI 2022,  2022年11月21日
6. 久保田直行, （ゲスト講演）Multiscopic　Topological Twin in Trailer Living Laboratory, ICIST 2020, インドネシアジャワ州スマラン, Poltekkes（スマラン国立保健高等専門学校）, 2022年12月14日～2022年12月16日
7. 久保田直行, （ゲスト講演）Multiscopic　Topological Twin in Trailer Living Laboratory, ICIST 2020, インドネシアジャワ州スマラン, Polines（スマラン国立工科高等専門学校）, 2022年12月14日～2022年12月16日
8. Naoyuki Kubota, Topological Intelligence and Topological Twin,  ICIST 2022,  2022年12月14日

2021

1. Naoyuki Kubota, （基調講演）Rehabilitation & Assistive Robotics, Human-Robot Interaction, Micro-Nano Robotics, and Robotic Manipulation, 2021 HUST-NU High-Level Academic Virtual Forum [Advanced Robotics for Humanity], August 7, 2021.
2. Naoyuki Kubota, (Invited Lecture) Neural Networks (I), 2021 IEEE CIS Summer School on Computational Intelligence for High-School Students Learning is around the corner, Online, August 10-12, 2021.
3. Naoyuki Kubota, (Keynote Speech) Topological Twin in Multiscopic Cyber-Physical-Social Systems, – 10th International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications (EAI MOBILWARE 2021), Hohhot, China, Online, October 22-23, 2021.
4. Naoyuki Kubota, (Invited Talk) Multiscopic Topological Twin in Robotics, The 28th International Conference on Neural Information Processing (ICONIP2021), Online, December 8-12, 2021.
5. 久保田直行, （招待講演・ハイブリッドセミナー）サービス分野におけるDXと介護現場の未来図, JBC日本ビジネス協会, December 22, 2021.

2020

1. 久保田直行,（解説）コミュニケーションロボットのための認知環境に基づく行動認識（画像ラボ）Vol.31,No.1, pp42-48, 2020.
2. 久保田直行, （解説）コミュニケーションロボットのための認識技術と情報構造化（自動認識）2020, Vol.33,No.3, pp49-58, 2020.
3. Naoyuki Kubota, (Invited Lecture) Robot Edutainment – Learning on Robots, Learning through Robots, and Learning with Robots, IEEE CIS Online Summer School on Computational Intelligence for Human and Robot Co-learning, August 22, 2020.
4. Naoyuki Kubota, (Invited Talk) Human Cognition and Artificial Intelligence, 2^nd International Conference on Handling Noncommunicable Diseases (ICNCDs), September 2, 2020.
5. Naoyuki Kubota, (Plenary Talk) Computational Systems Rehabilitation towards Inclusive Society, ICRRI 2020, Online and at Fushun, China, September 9-11, 2020.
6. （講演）Artifical Intelligence & Human Cognition in Problem Solving and Leaning, Graduates Competency Enhancement Through International Guest Lecture Series, Politeknik Negeri Semarang (POLINES), (Online) Nov 13, 2020.
7. 久保田直行, 大保武慶，松田雅弘，青村茂，万治淳史，武田隆宏，（Hot Topic）自動車運転再開に向けた認知機能評価支援システム）会誌「自動車技術」, pp85-91, Vol.74, No.11, 2020.
8. Naoyuki Kubota, (Invited Talk) Topological Mapping Based on Computational Intelligence in Robotics, The 9th International Symposium on Computational Intelligence and Industrial Applications (ISCIIA 2020), Beijing, China, November 2, 2020.
9. Naoyuki Kubota, (Invited Talk) Computational Intelligence for Feature Extraction and Mapping in Future Mobility, Daegu International Future Auto Expo 2020 Forum, Daegu, South Korea, October 30, 2020.
10. 久保田直行, （チュートリアル）知能化技術とロボット技術に基づくシステム化, SICEチュートリアルセミナー, 計測自動制御学会, July 17, 2020.
11. 久保田直行,（招待講演）日本の技術革新の問題点, 市民アカデミー, 東京都小金井市, September 19, 2020.

2019

1. 久保田直行,（解説）コミュニケーションロボットの社会実装にむけた研究と開発, 知能と情報（日本知能情報ファジィ学会誌）Vol.31,No.5, pp17-23, 2019
2. Naoyuki Kubota, (Plenary Talk) Intelligent Technology for Cognitive Robotics to Solve Real-world Problems, 6th China Robotop and Intelligent Economic Talents Summit (Robotop 2019), Yuyao, China, May 9, 2019
3. Naoyuki Kubota, (Plenary Talk) Computational Intelligence for Cognitive Robotics, 2019 IEEE International Conference on Cybernetics and Computational Intelligence (Cyberneticscom 2019), Banda Aceh, Indonesia, August 22, 2019.
4. Naoyuki Kubota, ntelligent Technology for Social Robotics, The 4th International Conference on Information Technology, Information Systems, and electrical engineering (ICITISEE-2019), November 20, 2019, Yogyakarta, Indonesia.
5. Naoyuki Kubota, Cognitive Robotics, November 21, 2019, Politeknik Negeri Semarang, Indonesia, Indonesia.

2018

1. 久保田直行,（技術セミナー）SLAMの基礎と実装技術および応用事例, 日本テクノセンター, July 20, 2018.
2. 久保田直行, 禹珍碩,（展望）ロボットパートナーのための自然なコミュニケーション技術, ケミカルエンジニヤリング（化学工業社）2018 Vol.63. No.8, pp560-566, 2018.
3. Naoyuki Kubota, (Plenary Talk) Topological Mapping for SLAM And Visualization, IEEE CIS Summer School on Computational Intelligence for Human and Machine Co-learning, Kaohsiung, Taiwan Aug. 22, 2018.
4. 久保田直行, 人工知能入門・知能化とシステム化, 理学情報ジャーナル第52巻・第10号（医学書院）, 2018.
5. Naoyuki Kubota, (Keynote Speech) Simultaneous Localization and Mapping based on Topological Mapping, International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC) 2018, Bali island, Indonesia, October 29, 2018.
6. 久保田 直行, 戸田 雄一郎, 辻元 誠, 谷口 和彦,（解説）環境を測るためのロボット技術, 保全学, pp.21-27, October, 2018.
7.  Jinseok Woo, Naoyuki Kubota, (Keynote Speech)Intelligent Technology for Socially Embedded Robot Partners, 29th 2018 International Symposium on Micro-NanoMechatronics and Human Science (From Micro & Nano Scale Systems to Robotics & Mechatronics Systems), Nagoya, 2018.12.9-12.

2017

1. 久保田直行, ロボット・知能化技術とシステムリハビリテーション（特別講演）, 第17回Conference for BioSignal and Medicine (CBSM) 2017, 熱海, June 30, 2017.
2. Naoyuki Kubota, (Tutorials) Fuzzy Robotics, The 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples, Italy, July 9, 2017.
3. 久保田直行,（解説）コミュニティとシステム, 知能と情報（日本知能情報ファジィ学会誌）Vol.29,No.4, pp120-127, 2017.
4. 久保田直行,（講演）ロボット・計算知能・リハビリテーション, 都医学研セミナー, 東京都医学総合研究所, July 25, 2017.
5. Naoyuki Kubota, (Invited Talk) Topological Approaches for Simultaneous Localization and Mapping, 6th International Conference on Informatics, Electronics & Vision and 7th International Symposium in Computational Medical and Health Technology (ICIEV & ISCMHT 2017), University of Hyogo, Hyogo, Japan, Sept. 2, 2017.
6. 久保田直行,（チュートリアル講演）サービスロボットとデザイン思考, 第23回創発システム・シンポジウム, 諏訪東 京理科大学, 長野, Sept. 9, 2017.

2016

1. 山口亨, 久保田直行, 下川原（佐藤）英理, ソーシャルロボットに向けたコミュニティセントリックアプローチ, 日本ロ ボット学会誌 Vol.34, No.5, pp.292-298, 2016.

2015

1. Naoyuki Kubota,（Tutorial）Informationally Structured Space for Computational Systems Care(30 minutes), the 10th Asian Control Conference (ASCC2015), June 2, 2015.
2. Naoyuki Kubota, (Invited Talk) Informationally Structured Space Based on Life Hub for Community-centric Systems, The 4th International Conference on Informatics, Electronics and Vision (ICIEV2015) June 11, 2015.
3. Naoyuki Kubota, (Plenary Talk) Cognitive Robotics and Informationally Structured Space, 2015 International Conference on Intelligent Robotics and Applications (ICIRA 2015), August 27, 2015.
4. 久保田直行, 人間共生システムにおけるコミュニケーションのデザインからエクスペリエンスのためのデザインへ, 知能と情報（日本知能情報ファジィ学会誌）Vol.27,No.6, pp182-192, 2015.

2014

1. 基調講演「ロボットとサービス」, 東京都ロボット研究会　平成２６年度定期総会, 2014年4月23日(水)
2. 招待講演「高齢社会を明るく生きるためのロボットの存在とは」, 特定非営利活動法人長野県高齢者福祉協会, 平成26年度 　第14回通常総会・研修会, 平成 26年6月5日(木)
3. Naoyuki Kubota, (Keynote Talk) Informationally Structured Space for Cognitive Robotics, IEEE Symposium Series on Computational Intelligence 2014, 2014.12.
4. 久保田直行, (教育講演) リハビリテーションにおけるシステム工学, 第1回日本支援工学理学療法学会学術集会, 2014.12.

2013

1. Naoyuki Kubota, (Invited Talk) Computational Intelligence for Cognitive Robotics based on Informationally Structured Space, 2013 RoSEC International Summer Workshop on Recent advances in cognitive robotics and HRI, Hanyang University, Korea, Aug.28, 2013.

2012

1. Naoyuki Kubota, (Invited talk) Robot Partners for Information Supports to Elderly People based on Informationally Structured Space，JSPS-NRF ASIAN SCIENCE SEMINAR 2012, Hokkaido, August 26-31, 2012.

2011

1. Naoyuki Kubota, (Invited Talk) (1) Fuzzy Robotics，(2) Simultaneous Localization and Mapping, (3) Multi-robot Systems and Remote Control, (4) Robot Partners, Japan Advanced Robotic Research Workshop, Higher Colleges of Technology, Dubai, UAE，18-19 January 2011.
2. Naoyuki Kubota, (Plenary Talk) Human-friendly Robot Partners in Informationally Structured Space, 6th International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2011)，Germany, 2011.5.25.
3. Honghai Liu, and Naoyuki Kubota, (Tutorial) Towards a Unified Framework for Intelligent Robotics, the 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, 2011.6.27.
4. 久保田直行, (講演)人とのインターラクションとロボティクス,第6回エレクトロニクス部門委員会,公益財団法人自動車技術 会,2011年7月13日,東京,日本

2009

1. Naoyuki Kubota, (Invited Talk) Cognitive Development of Partner Robots Based on Interaction with People, Proc. (CD-ROM) of Joint 4th International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS2008), Nagoya, Japan, September 18-21, 2008.
2. Honghai Liu, and Naoyuki Kubota, (Tutorial) Towards a Unified Framework for Intelligent Robotics, the 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), Korea, August 20, 2009.
3. 久保田直行, 三嶋博之，(解説)知覚と行為の循環的プロセスと拡張身体性, 計測と制御，Vol.48, No.12,pp.864-870, 2009.
4. 久保田直行, 3.1 認知ロボットの知覚システム, pp.19-22, 認知機能を持つエージェント技術とその応用,認知機能を持つエージェント技術に関する調査専門委員会編, 電気学会技術報告第1174号, 2009.

2008

1. 久保田直行, 里見将志, (解説)自己増殖型ニューラルネットワークと教師無し分類学習, システム制御情報学会, システム/制御/情報, Vol.52, No. 11, pp. 421-428, 2008.

2007

1. 久保田直行，（解説）パートナーロボットと進化的ロボットビジョン，映像情報インダストリアル, Vol.39, NO.8, pp.73-79, 2007.
2. Naoyuki Kubota, (Invited Talk) Information Extraction Based on Evolutionary Robot Vision for Partner Robots, Proc (CD-ROM) of International Symposium on Advanced Intelligent Systems (ISIS2007), pp. 21-26, Sokcho, Korea, September 5-8, 2007.

2005

1. 久保田直行, (解説)システムインテグレーションとインテリジェントシステム, 計測と制御, Vol.44, No.5, pp.339-344, 2005.
2. Naoyuki Kubota, (Plenary Talk) Computational Intelligence for Social Learning of A Partner Robot, Proc. (CD-ROM) of 2nd International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII 05), pp.99-104, Gammarth, Tunisia, October 14-16, 2005.

2004

1. Naoyuki Kubota, (Plenary Talk) Structured Learning for Partner Robots, Proc. of 2004 IEEE International Conference on Fuzzy Systems Vol.1 pp.9-14, Budapest, Hungary, Jul.25-29, 2004.
2. Naoyuki Kubota, (Tutorial) Learning and Evolution for Intelligent Robots, Proc. (CD-ROM) of The 5th International Conference on Simulated Evolution And Learning (SEAL 04), Tutorials 3, Busan, Korea, October 26-29, 2004.
3. 久保田直行, (解説)知能ロボットの行動学習; システム制御情報学会, システム/制御/情報, Vol.48, No.2, pp.51-56, 2004.

2003

1. Toshio Fukuda, and Naoyuki Kubota, (Tutorial) Computational Intelligence for Robotic Systems, Proceedings (CD-ROM) of the 2003 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE2003), p.1495, 2003-5.
2. 久保田直行, (解説)進化的ロボティクスと適応; システム制御情報学会, システム/制御/情報, Vol.47, No.12, pp.565-570, 2003.

1998

1. 久保田直行, 福田敏男, (解説)ウイルス進化とファジィ理論, 日本ファジィ学会学会誌, 10巻, 4号, pp.626-636, 1998.

1997

1. 福田敏男, 久保田直行, (解説)進化的計算手法とロボティクス, 日本ロボット学会誌, 15巻, 5号, pp.667-670, 1997.
2. 久保田直行, ウイルス進化と最適化, 知的コンピューティングは今, 日本ファジィ学会, pp.35-38, 1997.