Seed GR-3 – A General-Purpose Robot Model Launched by ByteDance

What is Seed GR-3

Seed GR-3 is a general-purpose robot model launched by ByteDance’s Seed team, featuring strong generalization capabilities, long-horizon task handling, and flexible object manipulation. Seed GR-3 integrates a “brain” that fuses visual, language, and motion information, a tri-modal training approach using robot data, VR human trajectory data, and publicly available vision-language data, along with a customized agile “body” called ByteMini. This enables the model to understand and execute instructions involving new objects, unfamiliar environments, and complex commands. GR-3 performs exceptionally well in long-sequence tasks, dual-arm coordinated operations, and flexible object manipulation, marking an important step toward a general-purpose robot “brain.”

Main Features of Seed GR-3

• High Generalization Ability: Adapts to new objects, novel environments, and complex commands involving abstract concepts.

• Long-Horizon Task Handling: Efficiently completes multi-step tasks such as cleaning a dining table and other complex household chores.

• Flexible Object Manipulation: Capable of precise manipulation of flexible objects like hanging clothes, including handling unseen types of garments.

• Fast Fine-Tuning: Quickly adapts to new tasks with efficient fine-tuning based on a small amount of human trajectory data.

• Dual-Arm Coordination: Supports bimanual tasks where both hands cooperate to perform complex actions.

• Whole-Body Operation: Combines with mobile base movement for full-body operation, adapting to a wider range of scenarios.

Technical Principles of Seed GR-3

• Integrated “Brain”: Uses a Mixture-of-Transformers (MoT) architecture to combine visual-language modules with motion generation modules into a 4-billion-parameter end-to-end model. The motion generation module employs a Diffusion Transformer (DiT) based on Flow-Matching for action generation.

• Tri-Modal Training Approach:
  • Robot Data: High-quality robot action trajectories collected via teleoperation.
  • VR Human Trajectory Data: Human operation trajectories collected using VR devices to enhance learning efficiency.
  • Public Vision-Language Data: Large-scale vision-language datasets used to improve understanding of new objects and abstract concepts.

• Customized Body: Paired with the ByteMini robot featuring 22 degrees of freedom, supporting high-flexibility operations suitable for confined spaces and precise tasks.

Project Links for Seed GR-3

• Official Website: https://seed.bytedance.com/zh/GR3

• GitHub Repository / Paper: https://arxiv.org/pdf/2507.15493

Application Scenarios for Seed GR-3

• Home Services: Assists with household chores, caring for elderly and children, and ensuring safety to make home life easier.

• Industrial Logistics: Optimizes warehouse management, aids production, and performs quality inspection to improve industrial efficiency.

• Healthcare: Supports patient rehabilitation, assists surgeries, and manages logistics to enhance medical services.

• Retail Services: Organizes shelves, serves customers, and guides exhibitions to optimize retail experiences.

• Disaster Rescue: Participates in rescue operations and environmental monitoring to support emergency response.