GR-2
Advanced Universal Robot Agent
Product Details
GR-2 is an advanced general purpose robotic agent designed for diverse and generalizable robotic operations. It is first pre-trained on a large number of Internet videos to capture the dynamics of the world. This large-scale pre-training, involving 38 million video clips and over 50 billion tokens, enables GR-2 to generalize across a wide range of robotic tasks and environments in subsequent policy learning. Subsequently, GR-2 was fine-tuned for video generation and action prediction using robot trajectories. It demonstrates impressive multi-task learning capabilities, achieving an average success rate of 97.7% on more than 100 tasks. Additionally, the GR-2 excels in new, previously unseen scenarios, including new backgrounds, environments, objects and tasks. Notably, GR-2 scales efficiently as model size increases, highlighting its potential for continued growth and application.
Main Features
How to Use
Target Users
The target audience of the GR-2 is robotics research and development personnel, industrial automation engineers, and industries that require a high degree of automation and intelligent operations. It is suitable for them because it provides a powerful and generalizable robotic agent that can achieve high success rates of operation in a variety of tasks and environments.
Examples
End-to-end binary picking in industrial environments.
Long-view language-controlled robotic manipulation on the CALVIN benchmark.
Efficient robotic operation in new, unseen scenarios.
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