ARC: A Reasoning Recipe for Robot Foundation Models
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: ARC: A Reasoning Recipe for Robot Foundation Models. This research proposes ARC, a reasoning framework that improves zero-shot task performance of existing robot foundation models (RFMs) through structured reasoning traces, automatic labeling, and model adaptation. The met…
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- arXiv Robotics — research abstractsSignalARC: A Reasoning Recipe for Robot Foundation Models
This research proposes ARC, a reasoning framework that improves zero-shot task performance of existing robot foundation models (RFMs) through structured reasoning traces, automatic labeling, and model adaptation. The method achieves state-of-the-art results on benchmark tasks like RoboLab-120 and MolmoSpaces, with up to 50 percentage point gains on RoboLab-Reasoning-50 and an 82.2 percentage point improvement in task success on real robots.
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