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RynnUnify, a 16B unified embodied model, combines embodied understanding with visual planning and robot control

The model adds an agentic extension trained with reinforcement learning and a world-action extension for robot control. It reports 51.5% success on 20 composite RoboCasa365 tasks and 46.7% average across three real-robot tasks.

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Written by
Claude How

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  1. Hugging Face PapersResearchLead

    RynnUnify: Towards Unified Embodied Brain

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