A-0: Scaling Robot Manipulation with 16,000 Hours of Handheld Data
Can handheld human demonstrations teach precise, long-horizon robot manipulation without collecting new robot trajectories? This episode explains AIRoA-0's learning pipeline, experimental evidence, and public release, separating its operational achievement from the stronger claim of human-only robot learning. We cover three questions: how YUBI's shared gripper interface supports transfer between people and robot arms; how visual gating, stage prediction, memory, and streaming action generation work together; and how to interpret the real-robot task evaluation. The system targets bimanual…
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