Reward AI Releases OM-1: A Robot Policy Trained on Human Demonstrations Only, With No Teleoperation or On-Robot Data

Reward AI released OM-1 (Omnibody Model 1), a general-purpose manipulation policy trained entirely on human demonstrations captured with a 7-DoF wearable glove, with no teleoperation or on-robot data. The policy runs on industrial arms and humanoids at human speed and learns a new task from under 30 minutes of data, pairing electromagnetic hand tracking — 60% lower overshoot than visual-inertial at 67 cm/s — with an RL-trained control layer that runs on its own clock. No weights, code, or API are public yet.

Reward AI has released OM-1 Omnibody Model 1 , a general-purpose manipulation policy trained entirely on human demonstrations captured with a 7-DoF wearable glove, with no teleoperation or on-robot data. The policy runs on industrial arms and humanoids at human speed, learns a new task from under 30 minutes of data, and pairs electromagnetic hand tracking 60% lower overshoot than visual-inertial at 67 cm/s with an RL-trained control layer that runs on its own clock. No weights, code, or API are public yet. The post Reward AI Releases OM-1: A Robot Policy Trained on Human Demonstrations Only, With No Teleoperation or On-Robot Data https://www.marktechpost.com/2026/09/14/reward-ai-releases-om-1-a-robot-policy-trained-on-human-demonstrations-only-with-no-teleoperation-or-on-robot-data/ appeared first on MarkTechPost https://www.marktechpost.com .