HuRo Dataset Scales VLA Pretraining with Robotized Human Videos

The HuRo pipeline converts heterogeneous human videos into robot-aligned observations and action trajectories to bridge the embodiment gap. The resulting dataset contains 630K robotized episodes and 142M frames for scalable Vision-Language-Action (VLA) pretraining.