CARE: Experience-Guided Atomic Corrective Execution for Vision-Language-Action Policies
Vision-Language-Action (VLA) policies achieve strong performance in robotic manipulation but remain brittle once execution deviates from nominal trajectories. We propose CARE (Corrective Atomic Robotic Execution), a…
Vision-Language-Action (VLA) policies show strong performance but require recovery from failures. CARE framework uses failed rollouts to improve atomic adjustments in robotics. FSR-Bench evaluates local deviations and structural anomalies post-intermediate failures.
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- ai-researchcare
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- Microsoft
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- care
- Threat actors
- robotic manipulationtask success
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- XiaojunlanMicrosoft
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- China
- AI models
- Care
From the original article
1 min read at huggingface.co
Vision-Language-Action (VLA) policies achieve strong performance in robotic manipulation but remain brittle once execution deviates from nominal trajectories. We propose CARE (Corrective Atomic Robotic Execution), a framework that improves recovery by learning from failures encountered during execution.
By Junlan Xiao, Junwei Jiang, Zaibin Zhang · huggingface.co
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