Fifteen Practice Rounds Took Robot Success to 95 Percent

Reconstruct, Practice, Go Real identifies capabilities in offline robot data, builds related simulation tasks and uses execution feedback, privileged simulator state and videos to diagnose failures. Candidate skill and prompt revisions are tested across tasks before retention. On 22 manipulation tasks, reported success rose from 28.6 percent after the first practice round to 95 percent after 15, above the tested baselines; after calibration and hardware adaptation, the frozen system completed all 30 physical trials across three tasks. These are source-reported results on a limited task and hardware set.