ARC: A Reasoning Recipe for Robot Foundation Models

ARC introduces Action-grounded Causal Reasoning for Robot Foundation Models (RFMs). It uses a scalable labeling pipeline to create structured traces detailing physical actions and their consequences. This allows existing models to gain reasoning abilities by learning from these traces, achieving state-of-the-art performance with minimal new data and significantly boosting efficiency.

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