Reward AI

Interesting to think of this on terms of how flexibly one can create opposition. A good read https://t.co/FV3fzg0fMp

U.S.-based robotics company Reward AI has introduced OM-1, a robot intelligence system designed to help robots learn physical tasks from humans. People can demonstrate tasks like picking, moving, and sorting objects, allowing OM-1 to learn…

Reward AI's OM-1 is a robot intelligence system designed to help robots learn physical tasks from humans. People can demonstrate tasks like picking, moving, and sorting objects, allowing OM-1 to learn these skills and transfer them across…

One robot model. Different robot bodies. 🤖 Reward AI has introduced OM-1, a robot foundation model designed to transfer manipulation skills across tabletop arms, industrial arms, mobile robots and humanoids. The interesting part is how it…

More robotics teams are getting behind the same idea: let robots learn straight from people. Sunday’s ACT-1 learned long-horizon household tasks from human demonstrations. X Square’s TwinDEX used a few hundred robot-free episodes to train…

Stealth startup @RewardAI_ has unveiled OM-1, an embodied foundation model learned directly from human manipulation data. Zero teleoperation or on-robot data involved. Spun out of Stanford’s DexCap research, the stack pairs a wearable…

Reward AI just came out of stealth and unveiled OM-1, a robot policy learned entirely from humans. No teleoperation, no on-robot data. One Model, Any Body. 1. Capture. A wearable 7-DoF hand (Omnibody Hand) lets people demonstrate…