Alibaba Unveiled Open-sourced Embodied Foundation Model for Robotics

Alibaba DAMO Academy unveiled RynnBrain, an open-sourced embodied foundation model based on Qwen3-VL.

Alibaba DAMO Academy, the research and development institute of Alibaba, unveiled RynnBrain, an open-sourced embodied foundation model based on Qwen3-VL. Moving beyond passive observation, RynnBrain is grounded in the physical world through comprehensive environmental cognition, precise spatiotemporal understanding and task planning. This enables it to perform physics-aware reasoning and execute complex real-world tasks.

RynnBrain is available in dense versions (with 2B and 8B parameters) and a mixture-of-experts (MoE) variant (30B‑A3B), as well as three specialized models: RynnBrain‑Plan for manipulation planning, RynnBrain‑Nav for navigation, and RynnBrain‑CoP for spatial reasoning.

Trained on Alibaba’s latest vision-language model Qwen3‑VL and fine-tuned using DAMO’s proprietary RynnScale system, RynnBrain achieves state-of-the-art (SOTA) results across major benchmarks in embodied cognition, embodied localization, and grounded visual understanding. Its performance is competitive with other leading embodied models such as Gemini Robotics ER 1.5 and Cosmos Reason 2.

RynnBrain_SOTA

RynnBrain is now accessible on Hugging Face, GitHub and the open-source community ModelScope.

This article was originally published on Alizila written by Crystal Liu.

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Alibaba Unveiled Open-sourced Embodied Foundation Model for Robotics

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