Article

FIT-MAC: A Closed-Loop Multi-Agent Framework for Improving the Robustness of Vision-Language-Action Models

The paper proposes FIT-MAC, a failure-aware closed-loop multi-agent control framework that adds a control layer at inference time to vision-language-action (VLA) policies to improve robustness.

Part of the event: Proposes FIT-MAC Closed-Loop Multi-Agent VLA Robustness Framework

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