Reward AI releases OM-1 robot foundation model
For developers working on robotics, OM-1 offers a new foundation model for building robot control systems, potentially simplifying the development process compared to training from scratch.
Reward AI has introduced OM-1, its first robot foundation model.
OM-1 is designed to generalize to any robot, including table-top arms, industrial arms, and humanoids.It was trained directly from human manipulation data without requiring teleoperation or robot data.
The model achieves close to human-level dexterity and efficiency and supports multi-robot collaboration.
Wow Reward AI @RewardAI_ Introducing OM-1, our first robot foundation model, zero-shot generalizing to any robot: table-top arms, industrial arms and humanoids. - learned directly from human manipulation data - no teleop/robot data - close to human-level dexterity and efficiency - multi-robot collab
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Reward AI, OM-1, robotics, foundation models.
Source attribution: curated from Thomas Wolf (@Thom_Wolf). Cross-source corroboration: 2 independent sources have covered this development (including 宝玉), confirming industry-wide signal strength.
- 宝玉09-14 19:32Source