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GaitSpan achieves a continuous range of locomotion from walking to running with a single adaptable policy, outperforming traditional multi-expert and imitation-based approaches.
Humanoids can now recover from falls in complex environments without real-world training, thanks to a distilled, goal-in-context policy that reasons about both pose and terrain.
