OopsieRecover: Learning Transferable VLA Corrections from Semantic Interventions
Overview
Vision-Language-Action (VLA) models often fail during deployment. OopsieRecover is a framework that uses abduction to infer the intent behind corrective demonstrations and encodes this knowledge as dense spatial representations and conditional costs. Experiments across six tasks show that only a few corrective demonstrations enable VLA models to overcome failures in novel situations without requiring new data for each variation.
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- arXiv Robotics — research abstractsSignalOopsieRecover: Learning Transferable VLA Corrections from Semantic Interventions
Vision-Language-Action (VLA) models often fail during deployment. OopsieRecover is a framework that uses abduction to infer the intent behind corrective demonstrations and encodes this knowledge as dense spatial representations and conditional costs. Experiments across six tasks show that only a few corrective demonstrations enable VLA models to overcome failures in novel situations without requiring new data for each variation.
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