Musculoskeletal Control

Musculoskeletal control research focuses on understanding and modeling how the nervous system coordinates muscles to produce movement, encompassing everything from simple balance to complex dexterous manipulation. Current research heavily utilizes musculoskeletal models coupled with reinforcement learning algorithms, often incorporating biomechanically realistic features and contact dynamics, to investigate motor control strategies and assess balance capabilities. This work has implications for improving rehabilitation techniques, designing more effective exoskeletons, and advancing the field of robotics through the development of more agile and adaptable robotic systems. Furthermore, the application of these models extends to understanding and simulating diverse biological systems, from human hands to octopus arms.