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Persistent object tokens enable humanoid robots to achieve a 71/80 success rate in complex loco-manipulation tasks, significantly outpacing previous benchmarks.
Onboard perception and pre-trained whole-body control can enable humanoid robots to perform dynamic racket sports like tennis without external motion capture or task-specific retraining.
Panoramic depth perception and differentiable physics unlock surprisingly robust collision avoidance, even generalizing to unseen simulation environments.