Event
Physical Intelligence publishes RLT research on efficient online RL for precise robot manipulation
Company context
Physical Intelligence develops foundation models and learning algorithms for robots and other physically actuated systems. Its π-series models are designed to generalize across robot embodiments, tasks, and environments using robot data, language instructions, vision-language-action training, reinforcement learning, and multimodal context conditioning.
Context
- Company
- Physical Intelligence
- Segment
- Foundation Models
- Event type
- Research Publication
- Geography
- San Francisco, California · United States