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Training-Distribution Hallucination is a critical challenge in robot manipulation, but ST-WAM's innovative use of DINOv3 features dramatically boosts performance under visual shifts.
Achieving state-of-the-art performance in mobile manipulation hinges on aligning temporal granularity and action space, revealing critical insights into effective world-action modeling.
