Reward's OM-1 learns new manipulation tasks from under 30 minutes of human demos
chris_j_paxton · x · 2026-09-15
Robotics teams are converging on learning directly from people: ACT-1 learned long-horizon household tasks from human demos; X Square's TwinDEX trained on a few hundred robot-free episodes to run a 24-step chemistry experiment; and Reward's OM-1 learns manipulation from human demonstrations alone, with the same policy running across industrial arms and humanoids on contact-rich tasks requiring force control and recovery. Reward says OM-1 picks up a new task from less than 30 minutes of demo data — and all three teams use dexterous gloves for high-quality data collection.
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