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Scaling from 120,000 hours of egocentric video boosts robotic manipulation success rates from 36.1% to 77.8% in zero-shot evaluations.
Achieve both long-horizon planning and fine-grained control in robotic imitation learning by predicting action sequences at different frequencies.
