Noematrix releases Noe-0: an embodiment World Action Model trained entirely on embodiment-free data
机器之心 · wechat · 2026-08-26
Noematrix (穹彻智能) released Noe-0, an embodied-AI pretrained World Action Model trained entirely on embodiment-free data — no teleoperation data at all. Collectors performed tasks directly in real homes and shops across 50+ cities, yielding hundreds of thousands of hours spanning hundreds of thousands of task types.
Noe-0 uses a World Action Model architecture with video prediction as the core learning objective, converting learned world-state dynamics into robot actions. The team found Pixel Prediction gives implicit counterfactual reasoning and significantly improves cross-embodiment transfer. On the data side, Noematrix built the portable RoboPocket capture device (1000+ concurrent collectors at peak) and an AI-native DataEngine with a DataAgent managing distributed collection, QA and labeling — addressing labeling costs that had exceeded collection costs. Noe-0 validates a full loop from pretraining to real-robot execution without teleop data.
More from Embodied
- China's AgiBot Reportedly Raising $210M at $7B Valuation, IPO May Slip to 2027 — xmercury_one · 2026-10-15
- The Verge: cute AI pet Eiliko uploads your conversations to Chinese servers — The Verge AI · 2026-10-15
- Sipeed MaixStation product page goes live for edge AI dev — xlltt · 2026-10-15
- Lukas Ziegler joins SPRIND Next Frontier Robotics Challenge jury, backs modular thesis for Europe — lukas_m_ziegler · 2026-10-15
- Gothic Church 3D Gaussian Splat Coming to Vision Pro, Hailed as Sharpest Ever — willeastcott · 2026-10-15
- Top-labs survey: 5 of 7 robot self-improvement studies show no cross-task gains, zero confirmed L5 — rohanpaul_ai · 2026-10-15