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GLOVES enables robots to adapt their actions intelligently, correcting only when necessary, which significantly boosts task performance while preserving agent autonomy.
Humanoid robots can now sprint at 6 m/s with zero-shot sim-to-real transfer, thanks to a surprisingly data-efficient approach using frequency-domain priors learned from just five human motion sequences.