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FIT-MAC: A Closed-Loop Multi-Agent Framework for Robust Vision-Language-Action Models
Vision-language-action (VLA) models have achieved strong performance on standard robotic manipulation benchmarks. However, their reliability can degrade substantially when task conditions deviate from the nominal setting. Perturbations in object positions and task instructions may lead to complete t
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