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Humanoid robots can now learn complex loco-manipulation skills in diverse real-world environments by watching humans, achieving a 51% performance boost over robot-only training.
Achieve 2.5x higher success in long-horizon robotic manipulation with 90% less data and compute by explicitly aligning training and deployment distributions.
Forget LLMs' short-sightedness: video generation offers a surprisingly effective path to real-world navigation from high-level goals, achieving 2.5x better success.
