"Alibaba has launched RynnBrain, an open source AI model that helps robots and smart devices perform complex tasks in the real world. The model combines spatial understanding with time awareness. Alibaba's DAMO Academy introduced the foundation model that enables interaction with the environment. RynnBrain can map objects, predict trajectories, and navigate in complex environments such as kitchens or factory halls. The system is trained on Alibaba's Qwen3-VL vision language model."
"Alibaba claims state-of-the-art results on benchmarks against Google's Gemini Robotics-ER 1.5 and Nvidia's Cosmos-Reason2. The model is available on Hugging Face and GitHub in multiple versions, ranging from 2 billion parameters to a more efficient mixture-of-experts variant. By making the model widely available, Alibaba wants to encourage developers and researchers worldwide to refine the technology. This approach could undermine Western leadership by enabling faster innovation cycles."
Alibaba's DAMO Academy introduced RynnBrain, an open-source foundation model that integrates spatial understanding and time awareness to enable physical interaction with environments. RynnBrain can map objects, predict trajectories, and navigate complex spaces such as kitchens and factory halls. The system is trained on Alibaba's Qwen3-VL vision language model and is released in multiple sizes on Hugging Face and GitHub, from a 2-billion-parameter version to a mixture-of-experts variant. Alibaba claims state-of-the-art benchmark performance versus Google's Gemini Robotics-ER 1.5 and Nvidia's Cosmos-Reason2. The open-source strategy aims to accelerate global development and could accelerate innovation cycles, while Alibaba also invested $140 million in X Square Robot to bolster hardware adoption.
Read at Techzine Global
Unable to calculate read time
Collection
[
|
...
]