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Reinforcement Learning of 3D Musculoskeletal Model for Walking or Running with Minimum Efforts
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In this work we are trying to build a controller for a musculoskeletal model that has the goal of matching a given time-varying velocity vector. The major objective is building a musculoskeletal model which is fully comprehensive and reproduces realistic human movements driven by muscle contraction dynamics. Spectrum of human movement will be generated through variations in the anatomic model.
Keywords
3D Musculoskeletal Model, Artificial Intelligence, Reinforcement Learning.
Manuscript Received: April 3, 2020; Revised: April 25, 2020; Accepted: May 2, 2020.
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