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The data pyramid framework reveals how the interplay of diverse data sources can unlock new capabilities in embodied agents, highlighting critical gaps in current methodologies.
Forget static imitation learning: LaST-R1 unlocks near-perfect robotic manipulation (99.8% success) by adaptively reasoning about physical dynamics *before* acting, then refining with RL.
Diffusion models can now achieve state-of-the-art performance in vision-language-action robotics tasks, rivaling and surpassing discrete and continuous action policies.
