LLM SSHes Into a Robot, Learns Joint Control, and Optimizes Motion via ZMP
ki_ki_ki1 · x · 2026-10-14
The demonstrator simply prompted the model to connect to a robot, and it figured out SSH connectivity on its own. Asked to move the robot's neck, it read through the codebase and understood how to command each joint. The demo then had the robot play Cornhole, recorded the video, and rebuilt a sim scene to optimize the motion; when asked for dynamic stability, the model checked ZMP (Zero Moment Point) and optimized for it — showing LLM-driven autonomous exploration and simulation-based refinement on real robots.
Related event: Agent Self-Learns Robot Control Over SSH From a Single Prompt(2 posts)→
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