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ACE-Data-0: Human-Centric Ambient Capture as Embodied Data Engine

36 upvotes · 30 JUL 2026 · Yukang Cao, Haozhe Xie, Beichen Wen et al.

This paper introduces a new dataset called ACE-Data-0, which provides a comprehensive and synchronized record of human behavior in real-world environments, capturing various aspects of embodied intelligence such as perception, action, and interaction. Practitioners in the field of embodied AI and machine learning can use this dataset to develop more sophisticated models that can learn from human demonstrations and perform tasks that involve complex manipulation, locomotion, and interaction.

embodied intelligencemultimodal datahuman-robot interactionperception-action loopimitation learningworld models