Seed GR-3 - ByteDance launches general-purpose robot model
Seed GR-3 is a general-purpose robot model launched by ByteDance's Seed team, which has high generalization ability, long-range task processing ability and flexible object manipulation ability.
What is Seed GR-3?
Seed GR-3 is a general-purpose robot model launched by ByteDance's Seed team. It boasts high generalization capabilities, long-range task processing capabilities, and flexible object manipulation capabilities. Seed GR-3 integrates a "brain" of vision, language, and motion information, a three-in-one data training method (robot data, VR human trajectory data, and publicly available text and image data), and a customized flexible "body," ByteMini, enabling it to understand and execute new objects, new environments, and complex commands. GR-3 performs exceptionally well in long-sequence tasks, dual-arm collaborative operation, and flexible object manipulation, representing a significant step towards a general-purpose robot "brain."
Main functions of Seed GR-3
- High generalization abilityIt can adapt to new objects, new environments, and complex instructions that contain abstract concepts.
- Long-term task processingIt supports efficient completion of multi-step tasks, such as complex household chores like cleaning the dining table.
- Flexible object manipulationIt supports fine manipulation of flexible objects, such as hanging clothes, and can handle unfamiliar types of clothing.
- Quick fine-tuningIt can efficiently fine-tune based on a small amount of human trajectory data and quickly adapt to new tasks.
- Dual-arm coordinated operationSupports two-handed collaborative tasks, such as using both hands to complete complex movements.
- Full-body operation abilityCombined with chassis movement, it enables full-body operation and adapts to more scenarios.
Technical principles of Seed GR-3
- Fusion BrainThe Mixture-of-Transformers (MoT) network architecture combines the vision-language module and the action generation module to form an end-to-end model with 4 billion parameters. The action generation module uses Diffusion Transformer (DiT) to generate actions based on Flow-Matching.
- Three-in-one data training method:
- Robot DataHigh-quality robot motion trajectories are collected based on teleoperation.
- VR Human Trajectory DataUsing VR devices to collect human operational trajectories can improve learning efficiency.
- Publicly available image and text dataEnhance the model's ability to understand new objects and abstract concepts using large-scale visual-linguistic data.
- Customized bodyPaired with the ByteMini robot, it has 22 degrees of freedom, supports highly flexible operation, and is suitable for confined spaces and delicate tasks.
Seed GR-3 project address
- Project official websitehttps://seed.bytedance.com/zh/GR3
- arXiv technical paper: https://arxiv.org/pdf/2507.15493
Application scenarios of Seed GR-3
- Home servicesThe model can assist with housework, care for the elderly and children, and ensure safety, making family life easier.
- Industrial LogisticsSeed GR-3 can optimize warehouse management, assist production, inspect quality, and improve industrial efficiency.
- healthcareIt helps patients recover, assists in surgery, manages logistics, and improves medical services.
- Retail servicesSeed GR-3 can organize shelves, serve customers, guide exhibitions, and optimize the retail experience.
- Disaster reliefThe model can participate in rescue and environmental monitoring, providing support for emergency response.