Control of Musculoskeletal Systems Using Learned Dynamics Models.

Controlling musculoskeletal systems, especially robots actuated by pneumatic artificial muscles, is a challenging task due to nonlinearities, hysteresis effects, massive actuator delay, and unobservable dependencies such as temperature. Despite such difficulties, muscular systems offer many beneficial properties to achieve human-comparable performance in uncertain and fast-changing tasks. For exam...