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Quadrupedal robots can now skate circles around traditional designs, thanks to a co-design approach that unlocks dynamic maneuvers like hockey stops and self-alignment.
Robots can learn faster and generalize better by encoding dynamics directly into their neural network architecture, outperforming standard transformers and GNNs.
