open-gigaai2026apache-2.0
GigaBrain-0.7
An embodied foundation model with a three-system architecture (understanding, prediction, action) trained on over 37,000 hours of heterogeneous embodied data, achieving improved generalization across diverse robot embodiments and tasks.
Downloads174
Hours37,000
Likes4
Why This Matters for Physical AI
GigaBrain-0.7 demonstrates how scaling embodied foundation models with heterogeneous data and improved architectural design enables emergent cross-embodiment generalization capabilities critical for developing practical robotic agents across diverse real-world scenarios.
Technical Profile
- Modalities
- rgblanguage
- Robot Embodiments
- Maker H01multiple heterogeneous embodiments
- Action Space
- vision-language-action
- Environment
- homeindustrial
- Task Types
- manipulationcomplex_taskslong_horizon_taskslanguage_conditioned_instruction_following
- Total Hours
- 37,000
- Annotation Types
- language_instructions
- License
- apache-2.0
Community Signals
HuggingFace Discussions2
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