Beijing, China – The Beijing Academy of Artificial Intelligence (BAAI) has announced the release of RoboOS, the first embodied brain-cerebellum collaboration framework, and RoboBrain, an open-source embodied general intelligence model, at the Zhongguancun Forum. This groundbreaking development marks a significant step towards achieving collective intelligence in robotics and accelerating the application of embodied AI in diverse scenarios.
The unveiling took place on March 29th at the Future AI Pioneer Forum during the 2025 Zhongguancun Forum. RoboOS and RoboBrain are designed to facilitate lightweight, rapid deployment across various scenarios and enable cross-embodiment collaboration, paving the way for single-machine intelligence to evolve into collective intelligence.
RoboBrain: Empowering Long-Range Manipulation Tasks
Long-range manipulation tasks are crucial for robots operating in complex, embodied environments. RoboBrain addresses this challenge by integrating three key capabilities: robot task planning, actionable region perception, and trajectory prediction. This integration allows RoboBrain to translate abstract instructions into concrete action sequences, significantly enhancing its ability to perform complex, long-range tasks.
RoboBrain comprises three modules: a foundation model for task planning, an A-LoRA module for actionable region perception, and a T-LoRA module for trajectory prediction. During inference, the model first perceives visual inputs and decomposes the input instruction into a series of executable sub-tasks. It then performs actionable region perception and trajectory prediction.
BAAI employs a multi-stage training strategy for RoboBrain, equipping it with the ability to remember long historical frames and perceive high-resolution images. This approach enhances its scene perception and operation planning capabilities.
RoboBrain has demonstrated exceptional performance in task planning, actionable region perception, and trajectory prediction evaluation tasks, surpassing multiple leading models in various benchmarks.
RoboOS: A Brain-Cerebellum Inspired Framework for Multi-Robot Collaboration
RoboOS is built upon a hierarchical brain-cerebellum architecture, enabling seamless collaboration among multiple robots. The framework supports various types of embodied entities and possesses dynamic task management and optimization capabilities. This allows for efficient coordination and execution of complex tasks in dynamic environments.
Open Source for Collaborative Innovation
BAAI is committed to fostering an open and collaborative ecosystem for embodied AI. To this end, RoboBrain and related datasets are being released under open-source licenses:
- RoboBrain (Embodied Multi-Modal Brain Model):
- GitHub: https://github.com/FlagOpen/RoboBrain
- Gitee: https://gitee.com/flagopen/robo-brain
- Huggingface: https://huggingface.co/BAAI/RoboBrain
- ShareRobot (High-Quality Heterogeneous Dataset for Robot Manipulation Tasks):
Conclusion
The release of RoboOS and RoboBrain represents a significant advancement in the field of embodied AI. By providing open-source tools and datasets, BAAI is empowering researchers and developers to accelerate the development and deployment of intelligent robots capable of performing complex tasks in real-world environments. This initiative promises to unlock new possibilities in various sectors, from manufacturing and logistics to healthcare and disaster response. The future of robotics is here, and it’s open source.
References
- BAAI. (2024, March 29). 迈向群体智能 | 智源发布首个跨本体具身大小脑协作框架与开源具身大脑 [Towards Collective Intelligence | BAAI Releases First Cross-Ontology Embodied Brain-Cerebellum Collaboration Framework and Open Source Embodied Brain RoboBrain]. Retrieved from [Insert Original Source Link Here if Available, otherwise omit]
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