ω-0 Model Enables Humanoid Robots to Perform Household Tasks with 81.8% Success
CyberRobooo · x · 2026-08-09
Researchers from NTU, PKU, BAAI, and HKUST(GZ) released ω-0 (OMEGA-0), a latent predictive world-action model for humanoid robots. Unlike traditional systems that separate locomotion and manipulation, ω-0 directly generates coordinated whole-body actions.
Trained on the 40+ hour ω-HOME multimodal dataset, the model was deployed on a Unitree G1 robot. Across 11 household tasks such as picking items, wiping tables, and grabbing drinks, it achieved an 81.8% success rate and 90.3% task progress using a single policy.
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