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GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture

97 upvotes · 16 AUG 2026 · GigaBrain Team, Angen Ye, Axiang Sun et al.

This paper presents GigaBrain-0.7, a new embodied foundation model that achieves strong generalization across diverse robot embodiments and tasks, by improving the architecture and scaling it to large amounts of data. Practitioners might care about this research if they're working on developing generalist robots that can adapt to new tasks and environments.

embodied foundation modelsvision-language-action modelsthree-system architecturecontinual learningrobot embodimenttask generalization