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A well-designed harness can unlock powerful embodied manipulation capabilities in compact models, achieving frontier performance with just 2K simulation trajectories.
3D traces can serve as a powerful, scalable representation for robot learning, outperforming traditional action-based models without requiring specific action labels.
