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Bridging human and robot manipulation through wrist translation leads to a dramatic improvement in skill transfer efficiency, outpacing traditional methods reliant on noisy hand poses.
Achieve 10% higher success rates in robotic manipulation tasks while speeding up inference by 1.5-1.8x by intelligently pruning visual tokens in multi-view Vision-Language-Action models.
