Open-HumanScale Scales Human Video for Robot Learning
Open-HumanScale-50K corpus and HumanWAM models pretrained on 50k hours of egocentric video achieve high success rates on robot benchmarks.
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ThinkWorld grounds robot action reasoning in imagined world dynamics
Chain-of-Dynamics tokens let unlabeled human and robot videos supervise the same action space via predicted state transitions.
HuRo: Robotizing Human Videos for Scalable VLA Pretraining
HuRo converts 630K human videos into robot-aligned episodes, improving VLA manipulation completion from 51.5% to 80.3% across four real tasks.