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Robot Manipulation Failure Diagnosis
Diagnose, Correct, and Learn from Manipulation Failures via Visual Symbols
Published:12/2/2025
Vision-Language-Action ModelRobot Manipulation Failure DiagnosisViFailback DatasetVisual Question Answering TasksRobotic Manipulation Correction Guidance
The paper introduces the ViFailback framework for diagnosing and correcting robotic manipulation failures using explicit visual symbols. A large dataset with 58,126 VQA pairs and 5,202 trajectories is released to validate the ViFailback8B model's effectiveness in realworld reco
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From Mystery to Mastery: Failure Diagnosis for Improving Manipulation Policies
Published:12/4/2024
Robot Manipulation Failure DiagnosisDeep Reinforcement LearningVision-Language EmbeddingEnhancing Robustness of Robot PoliciesFailure Mode Identification in Unseen Environments
This study presents RoboMD, a framework using deep reinforcement learning to automatically identify unknown failure modes in robot manipulation policies. Its visionlanguage embedding allows for fault diagnosis in unseen environments, quantifying and ranking failure probabilities
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