Event
Generalist introduces GEN-0 embodied foundation model
Key points
- Generalist introduced GEN-0 as a new class of embodied foundation model trained directly on high-fidelity physical interaction data.
- The company said GEN-0 had scaled past 10B parameters, showed a phase transition around 7B in robotics pretraining, and worked across 6DoF, 7DoF, and 16+DoF semi-humanoid systems.
- Generalist also disclosed that its in-house pretraining corpus had reached more than 270,000 hours of real-world manipulation data and was growing by over 10,000 hours per week.
Company context
Generalist builds embodied foundation models for robots, initially focused on dexterous manipulation. Its work combines real-world robot interaction data, in-house data-collection hardware and models intended to generalize across tasks.
Context
- Company
- Generalist
- Segment
- Foundation Models
- Event type
- Product Launch
- Geography
- San Mateo, California · United States