Corrective learning can reduce retraining cost and improve deployment iteration, but results remain research evidence rather than fleet validation.
RedFlow Turns Robot Failures Into Action-Level Corrections
The paper proposes converting failed actions into localized corrections for flow-matching vision-language-action policies.
