OpenClaw Agent Controls Robot Arm Autonomously After Developer Connects AI to Physical Hardware
A WIRED journalist gave an OpenClaw agent control of a physical robot arm and it configured the hardware, identified objects by sight, and trained a secondary model for autonomous pick-and-place tasks. The experiment demonstrates code-as-policy, where AI coding models generate executable robot behaviors, eliminating the need for traditional teleoperation training.