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RynnBrain 1.1 embodied models outperform existing systems on benchmarks

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced RynnBrain 1.1, a new family of embodied foundation models available in 2B, 9B, and 122B-A10B scales. This model family is designed for robots, supporting perception, spatial reasoning, localization, and planning with a focus on physical grounding and manipulation. The 122B-A10B version has demonstrated superior performance on several benchmarks, outperforming existing proprietary and open-source models, and real-world robot experiments show RynnBrain-initialized policies are more effective than those based on Qwen or other generalist VLAs. AI

IMPACT Introduces advanced embodied AI capabilities for robotics, potentially improving robot manipulation and task performance.

RANK_REASON The cluster describes a new research paper detailing an embodied foundation model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

RynnBrain 1.1 embodied models outperform existing systems on benchmarks

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The cluster describes a new research paper detailing an embodied foundation model. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model

    We present RynnBrain 1.1, a family of embodied foundation models spanning 2B, 9B, and 122B-A10B scales. Trained with a unified spatio-temporal and physically grounded framework, RynnBrain 1.1 supports embodied perception, spatial reasoning, localization, and planning. Compared wi…

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