Chinese internet giant Alibaba Group launched RynnBrain, an open-source artificial intelligence (AI) model designed to enable robots to better perceive and interact with the physical world.

The move positions the company as a serious contender in the fast-growing “physical AI” sector, which includes real-world robotics and automated systems.

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RynnBrain Pushes Alibaba into Robotics AI Competition

Alibaba’s research arm, DAMO Academy, rolled out RynnBrain to enable robots and smart machines to understand their surroundings, map objects and plan actions in complex environments such as kitchens and factory floors.

The model is released under an open-source licence, with versions ranging from smaller parameter configurations to advanced mixtures-of-experts variants available for global developers and researchers.

In the demonstration footage, a RynnBrain-powered robot identifies pieces of fruit. It places them in a basket, a task that signals improvements in visual perception and motion planning over basic automation.

“The model builds on its Qwen3-VL vision language architecture and enhances spatial awareness and task planning.”

-Alibaba

Makers at Alibaba also vouched for the state-of-the-art performance on industry benchmarks. They noted that RynnBrain outperformed competitor systems such as Google’s Gemini Robotics-ER 1.5 and Nvidia’s Cosmos-Reason2 in key tests. This signals intensifying global competition in robotics and AI.

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Strategic Context: Physical AI Race and China’s Push

The launch comes ahead of China competing with the United States for leadership in next-generation AI technologies that extend beyond software to embodied systems.

These machines work autonomously in the physical world and Beijing has identified “embodied AI” as a national priority, encouraging homegrown firms to advance robotics and related innovations.

Alibaba’s open-source strategy contrasts with the proprietary approach, which is also favoured by many Western tech players. The sole intent is to broaden the field for outside developers and accelerate adoption.

Analysts see the release as part of China’s broader effort to challenge US dominance in robotics and automation, with applications spanning manufacturing, logistics and service sectors.