Locomotion Control for Many-Muscle Humanoids
We present a biped locomotion controller for humanoid models actuated by more than a hundred Hill-type muscles. The key component of the controller is our novel algorithm that can cope with step-based biped locomotion balancing and the coordination of many nonlinear Hill-type muscles simultaneously. Minimum effort muscle activations are calculated based on muscle contraction dynamics and online quadratic programming. Our controller can faithfully reproduce a variety of realistic biped gaits (e.g., normal walk, quick steps, and fast run) and adapt the gaits to varying conditions (e.g., muscle weakness, tightness, joint dislocation, and external pushes) and goals (e.g., pain reduction and efficiency maximization). We demonstrate the robustness and versatility of our controller with examples that can only be achieved using highly-detailed musculoskeletal models with many muscles.
Yoonsang Lee, Moon Seok Park, Taesoo Kwon, Jehee Lee, Locomotion Control for Many-Muscle Humanoids, ACM Transactions on Graphics (SIGGRAPH ASIA 2014), Volume 33 Issue 6, Article No. 218, November 2014
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