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Training in Deployment: Human-in-the-loop Online Post-Training for Robot Manipulation
Large pretrained robot foundation models provide strong priors for manipulation, yet adapting them to target tasks with offline teleoperated demonstrations often fails to cover the contact-rich, recovery, and precision-critical states encountered during deployment. Existing methods mitigate this iss
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