Four legged robot demonstrates precise movement by manipulating objects with its feet

Engineers at ETH Zurich trained the ANYmal-D quadruped robot to solve a mechanical puzzle cube using precise foot motions. The control architecture combines vision processing and reinforcement learning algorithms to manipulate individual puzzle layers cleanly. The test demonstrates how legged industrial machinery could operate physical controls without extra robotic arms.