Reward AI debuts OM-1 robot foundation model, zero-shot generalizing to any robot
yifengzhu_ut · x · 2026-09-15
Reward AI, founded by Yifeng Zhu (PhD and big-tech lab background in robot manipulation), introduced OM-1, its first robot foundation model. Key claims: zero-shot generalization across table-top arms, industrial arms, and humanoids; learned directly from human manipulation data with no teleop or robot data; near human-level dexterity and efficiency; multi-robot collaboration. The team treats cross-embodiment and efficiency as first-class citizens, aiming to deploy millions of robots of varied form factors in the real world.
More from Embodied
- Hackathon Project Skillio Turns Vision Pro Into an AR Screw-Driving Coach Agent — seanmcdonaldxyz · 2026-09-15
- Autonomous robot unloads trucks without any fixed infrastructure — TinfoilTricorn · 2026-09-15
- Tesla FSD handles full descent on Slovenia's highest road at 2,055 m — FlorianGallwitz · 2026-09-15
- Physical Intelligence unveils OM-1, a robot foundation model trained on human data — kenziyuliu · 2026-09-15
- Unitree's new dual-axis robot neck mocked: tilt-then-pan kinematics force absurdly long neck — carlosdponx · 2026-09-15
- Reward AI debuts Omnibody Hand & OMI-1, pushing hardware-algorithm co-design for cross-embodiment dexterity — zipengfu · 2026-09-15