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W [10] and Kinema
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Revealing robot motion in video models can transform how we predict and control robotic actions, achieving high fidelity with minimal training data.
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.
Encoding dynamics directly into visual representations via DynaFLIP yields up to 22.5% better robot manipulation performance in out-of-distribution scenarios.
