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Scaling Whole-Body Human Musculoskeletal Behavior Emulation for Specificity and Diversity

Description

The embodied learning of human motor control requires whole-body neuro-actuated musculoskeletal dynamics, while the internal muscle-driven processes underlying movement remain inaccessible to direct measurement. Computational modeling offers an alternative, but inverse dynamics methods struggled to resolve redundant control from observed kinematics in the high-dimensional, over-actuated system. Forward imitation approaches based on deep reinforcement learning exhibited inadequate tracking perfor

Source

http://arxiv.org/abs/2603.29332v1