BAAI - 北京智源人工智能研究院
Beijing-based non-profit AI research institute developing large foundation models and open-source embodied-AI systems for robotics.
The Beijing Academy of Artificial Intelligence (BAAI), also known as the Zhiyuan Institute, is a Chinese non-profit artificial intelligence research institute founded on November 14, 2018 with support from the Beijing Municipal Science and Technology Commission and the Zhongguancun Science Park Management Committee. BAAI conducts research on foundational AI technology and original innovation, gathering AI researchers to work on core technologies, theory, talent development and industry ecosystem building. The institute is known for large-scale pre-trained foundation models, including the Wu Dao multimodal language models, with WuDao 2.0 reaching 1.75 trillion parameters, and the Emu series of multimodal models such as Emu3, which tokenizes images, text and video into a single discrete space and trains a single transformer with next-token prediction. For robotics and embodied intelligence, BAAI released RoboOS, described as a cross-ontology embodied brain-collaboration framework, and the open-source embodied brain RoboBrain at the 2025 Zhongguancun Forum, advancing models that connect AI reasoning to physical robot control.
The institute also develops and open-sources datasets, model libraries and evaluation tools that support the broader AI and robotics research community. As a research institute rather than a commercial vendor, BAAI focuses on advancing AI capabilities, releasing open models, and supporting the embodied-AI and robotics ecosystem in China and internationally. Its work spans natural language processing, multimodal learning, and embodied intelligence, with embodied-AI and robot-brain frameworks representing its most directly robotics-relevant output.
Primary type & automation activities this supplier delivers:
Company Facts
Founded
2018
Primary Role
Research Institute
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
Grant / Non-profit
Funding Total
-
Keywords
- BAAI
- 北京智源人工智能研究院
- artificial intelligence
- foundation models
- Wu Dao
- Emu3
- embodied AI
- RoboBrain
- RoboOS
- Research Institute
- Control & Software
- Education & Research
Omega-0 Model Achieves 81.8 Percent Success in Home Tasks by Nanyang Technological University and Partners
Researchers from Nanyang Technological University, Peking University, HKUST (GZ), and Beijing Academy of Artificial Intelligence (BAAI) have introduced Omega-0, a latent-prediction world action model. This innovative model enables a humanoid robot to perform multiple actions simultaneously, including walking, looking, and working. The significance of Omega-0 lies in its impressive performance, achieving an 81.8 percent success rate across 11 real home tasks. This success surpasses that of previous models such as pi-0.5, EgoVLA, GR00T-N1.7, and psi-0, highlighting advancements in robotic capabilities for practical applications in domestic environments. Looking ahead, the development of Omega-0 suggests a growing trend in robotics focused on enhancing the functionality of humanoid robots in everyday tasks. No further timeline was disclosed at the time of publication.
Thirteen New Embodied AI Models Released in June 2026 by BAAI and Alibaba
In June 2026, the landscape of embodied AI saw the introduction of 13 new models, including significant contributions from BAAI and Alibaba's Qwen-Robot. This rapid development indicates a shift from traditional hardware benchmarks to a focus on software intelligence, highlighting the competitive nature of the field. The emergence of these models underscores the growing importance of software capabilities in embodied AI, as companies strive to enhance their offerings and differentiate themselves in a crowded market. This trend reflects a broader industry movement towards prioritizing intelligent software solutions over hardware specifications. Looking ahead, industry observers should monitor the ongoing advancements in embodied AI models, as the pace of innovation suggests that new releases may continue to emerge frequently. No further timeline was disclosed at the time of publication.
Technology
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