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README.md

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-license: mit
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+---
+language: en
+license: mit
+tags: [humanoid, generalization, transfer-learning, decentralized-ai, foundation-model]
+---
+
+# Humanoid Cross-Domain Generalization Core
+
+This model enables humanoid agents
+to generalize knowledge and skills
+across different domains,
+tasks,
+and environments
+within decentralized systems.
+
+It reduces retraining requirements
+and allows rapid adaptation
+to unseen operational contexts.
+
+## Objective
+
+To provide strong cross-domain transfer ability
+for humanoid agents operating
+in heterogeneous real-world scenarios.
+
+## Architecture
+
+- Unified Multimodal Encoder
+- Domain Abstraction Layer
+- Transfer Learning Adapter Blocks
+- Context Reweighting Module
+- Generalization Stability Head
+
+## Capabilities
+
+- Zero-shot task adaptation
+- Cross-domain skill transfer
+- Context-aware representation shifting
+- Reduced fine-tuning dependency
+- Foundation-level reasoning core
+
+## Training Strategy
+
+- Multi-domain pretraining
+- Contrastive representation alignment
+- Meta-learning adaptation loops
+- Distributed fine-tuning compatibility
+
+## Designed For
+
+Large-scale decentralized humanoid deployment
+requiring domain flexibility
+and long-term scalability.
+
+## Part of
+
+Humanoid Network (HAN)
+
+## License
+
+MIT