Researchers at ETH Zurich have transformed a commercial robotic hand into a self-contained walking robot that crawls on its fingertips while manipulating objects. Using reinforcement learning and novel training techniques to account for the hand's asymmetrical finger structure, the team created an AI controller that enables the hand to traverse diverse surfaces and perform tasks like keyboard pressing and object manipulation. The approach could enable robots to reach confined spaces in maintenance and search-and-rescue operations.