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Reinforcement Learning

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Monday, 14 September 2026

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

MarkTechPost 1 month ago 1

Reward AI released OM-1, an Omnibody Model 1 manipulation policy trained from human demonstrations captured with a 7-DoF sensorized glove. Electromagnetic hand tracking reduced mean overshoot error from 24.9 mm to 9.5 mm at 67 cm/s versus visual-inertial. The company also did not release weights, code, a dataset, or an API, and OM-1 is described as an in-house policy rather than immediately deployable for developers.

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