Reward AI's OM-1 Model Achieves Stable Grip on Humanoid Stairs
Reward AI demonstrates its OM-1 model's capability to maintain grip stability during humanoid locomotion. The model learns from human data via sensorized gloves without teleoperation or robot demos, enabling robust last-mile delivery tasks in complex environments like stairs.
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Rohan Paul (@rohanpaul_ai) · 2026-10-27 19
imo, the the impressive part here is grip stability during locomotion, since every step down jolts the load in the hands.
also stairs are turning into one of the most useful test benches in humanoid robotics.
Their OM-1 model here learns from people wearing a sensorized glove that records hand pose, touch and images, with no teleoperation or on-robot demonstrations.
↳ 引用 @RewardAI_ (Reward AI): We deploy OM-1 on more humanoid tasks in both indoor and outdoor environments. OM-1 can power humanoids to do useful things robustly that other models or form factors cannot.
- last-mile delivery from a Cybertruck
- manipulation on stairs
