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Aug 2026

Visual-Tactile Embodied Perception-Driven Neuro-Symbolic Rule Consistency Modeling and Contact-Deviation Automatic Correction for Precision Assembly of Industrial Humanoid Robots

Experiments show that VTNSCorr achieves the best assembly success rate, rule consistency score, correction success rate, and safety violation reduction, and the results demonstrate its effectiveness for reliable and interpretable industrial humanoid precision assembly.

Lin Han, Guo-Qing Chen, Tian-Wen Zhao · 0 citations

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