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LAW: A Closed-Loop VLM-WAM Framework Unifying Language, Action, and World Modeling

The authors propose LAW, a closed-loop VLM-WAM framework that unifies language reasoning, action generation, and world modeling through semantic subtask progress, achieving an average success rate of 94.21% across 50 RoboTwin tasks.

Part of the event: LAW framework unifies language reasoning, action generation, and world modeling

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