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

Hugging Face Daily Papers ↗ · 2026-08-16 Cached

GigaBrain-0.7 is an embodied foundation model that uses a three-system architecture and large-scale heterogeneous pretraining to improve generalization across diverse robot embodiments, achieving enhanced zero-shot capabilities and task success rates.

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