Open-AoE introduces an open egocentric manipulation dataset and toolchain covering smartphone capture, structured annotation, processing, and downstream training. Its first release contains approximately 2,000 hours of manipulation video collected in natural environments by more than 500 contributors using over 400 smartphones. It provides text annotations, MANO-based hand poses, camera trajectories, and temporally localized atomic actions. The accompanying tools support visualization, cross-embodiment retargeting, model-specific conversion, and training recipes for VLA policies, WAMs, and world models.
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