Embodied AI Breakthrough: ACE-Data-0 Multimodal Dataset Released
liuziwei7 · x · 2026-08-02
S-Lab at Nanyang Technological University and ACE Robotics have jointly released the ACE-Data-0 dataset, designed to provide a comprehensive perception-action loop data engine for embodied AI.
Key Highlights:
- Fully Synchronized Recording: Transforms real home environments into spatially calibrated, temporally synchronized recording studios, capturing first-person perception, whole-body motion, dexterous manipulation, object state, sound, and touch in one pass.
- Authentic Intent Capture: Participants receive only goal-level instructions (e.g., "prepare a cup of tea and serve it at the table") rather than step-by-step scripts, naturally capturing planning, hesitation, and improvisation.
- Data Scale: Includes 150+ hours of recorded activity, 17M+ video frames, 75,000+ interaction episodes, covering 200+ task categories and 50+ participants.
- Multi-View Coverage: Provides 8+ exocentric views and 4 egocentric fisheye views per moment.
Related event: NTU and Partners Release 150-Hour Embodied AI Dataset(4 posts)→
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