Reinforcement Learning for Anthropomorphic Hand Locomotion

An anthropomorphic hand uses reinforcement learning to achieve self-supported locomotion, including crawling and steering, using a simulator calibrated from hardware measurements. The system allows the hand to move its body using its fingers while simultaneously executing vision-free keyboard commands and object manipulation.