Learning to Unscrew the Cap Naturally: Skill Decomposition and Policy Distillation for Robot Twisting
Dexterous twisting is a fundamental yet challenging capability for anthropomorphic manipulation due to its high-dimensional action space, strong spatio-temporal coupling, and complex contact dynamics. While reinforcement learning (RL) often struggles with convergence under such conditions, learning from demonstration (...