Reward AI unveils OM-1 robot foundation model trained solely on human data, zero-shot to any robot

yifengzhu_ut · x · 2026-09-15

Reward AI introduced OM-1, its first robot foundation model that zero-shot generalizes to any embodiment: tabletop arms, industrial arms, and humanoids.

The key shift is the data source: OM-1 is trained entirely on human manipulation data captured via sensor-equipped gloves doing ordinary tasks — no teleoperation, no robot-collected data — reaching near human-level dexterity and efficiency, with multi-robot collaboration in scope. A demo shows a robot replicating a bartender's fruit-cutting from human video alone. Since the data entry point is the human hand, training data can be accumulated today for robots that don't yet exist, breaking the traditional embodiment-bound data limitation.

Related event: RewardAI Launches OM-1: Robot Foundation Model Zero-Shot Trained on Pure Human Data(51 posts)→

Original post →

More from Embodied

Embodied channel →