Rollback backtracks world models to improve robot policies
Absolute success gains were 10.67%, 11.11%, and 11.85% on three real-world tasks versus the strongest baseline.
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Absolute success gains were 10.67%, 11.11%, and 11.85% on three real-world tasks versus the strongest baseline.
Paper introduces skill-space shooting, using foundation model guidance over reusable skills to turn robot failure corrections into autonomous policy improvement.
SyncWorld is an action-conditioned world model acting as a zero-shot robotics simulator across unseen environments via visual calibration.
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