Robust In-Hand Manipulation via Priors in Reinforcement Learning and Mechanical Design

arXiv:2607.12105v1 Announce Type: new Abstract: In-hand manipulation without external sensing is challenging due to uncertainties from finger-object contacts and disturbances by gravity. While reinforcement learning has shown promise in learning complex finger gaiting, existing approaches do not pr