AI RESEARCH
Scaling Whole-Body Human Musculoskeletal Behavior Emulation for Specificity and Diversity
arXiv CS.AI
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ArXi:2603.29332v1 Announce Type: cross 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.