Event
AGIBOT publishes SOP framework for fleet-scale online VLA post-training
Key points
- AGIBOT Research introduced SOP as a scalable online post-training framework for Vision-Language-Action models running across robot fleets in the real world.
- The official writeup says SOP enables online updates across deployed robots, improves task performance within hours, and supported more than 36 hours of autonomous operation on target tasks after training.
- It matters because this is a first-party systems research release about continual fleet learning, not just another model or dataset announcement.
Company context
Develops humanoid robotic systems focused on general-purpose task execution, combining physical platforms with AI-driven control systems. The company is building a range of humanoid architectures targeting both industrial and service-oriented environments.
Context
- Company
- AgiBot
- Segment
- Humanoid
- Event type
- Research Publication
- Geography
- Shanghai · China