Research Theme
Human Musculoskeletal Model Simulation with Deep Reinforcement Learning
Keywords
musculoskeletal model, deep reinforcement learning
Introduction
With the musculoskeletal system, the body can move and carry out various activities, such as walking, running, swimming, as simple as picking up an object. Therefore, we need an experiment that requires us to find the best strategy for using the musculoskeletal system properly. When we research unknown or unusual human behavior like falling or slipping, we cannot just implement these behaviors because they can cause harm to the body. Therefore, there is a model in the simulation that we can make movements that do not pose a risk. With the musculoskeletal system, the body can move and carry out various activities, such as walking, running, and swimming, as simple as picking up an object. Therefore, we need an experiment that requires us to find the best strategy for using the musculoskeletal system properly. When we research unknown or unusual human behavior like falling or slipping, we cannot just implement these behaviors because they can cause harm to the body. Therefore, there is a model in the simulation that we can make movements that do not pose a risk. The musculoskeletal model is the best example of human movement. This systems can demonstrate human movement therefore we can experiment with unusual human behavior and predicting how humans will optimize movement in new environments.
Proposed Method
