Acquiring state from control dynamics to learn grasping policies for robot hands

摘要

A prominent emerging theory of sensorimotor development in biological systems proposes that control knowledge is encoded in the dynamics of physical interaction with the world. From this perspective, the musculoskeletal system is coupled through sensor feedback and neurological structure to a nonstationary world.