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.