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| Format: | Preprint |
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2025
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| Online-Zugang: | https://arxiv.org/abs/2510.14861 |
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| _version_ | 1866908697989480448 |
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| author | Cong, Le Smerkous, David Wang, Xiaotong Yin, Di Zhang, Zaixi Jin, Ruofan Wang, Yinkai Gerasimiuk, Michal Dinesh, Ravi K. Smerkous, Alex Shi, Lihan Zheng, Joy Lam, Ian Wu, Xuekun Liu, Shilong Li, Peishan Zhu, Yi Zhao, Ning Parakh, Meenal Serrao, Simran Mohammad, Imran A. Chen, Chao-Yeh Xie, Xiufeng Chen, Tiffany Weinstein, David Barbone, Greg Caglar, Belgin Sunwoo, John B. Li, Fuxin Deng, Jia Wu, Joseph C. Wu, Sanfeng Wang, Mengdi |
| author_facet | Cong, Le Smerkous, David Wang, Xiaotong Yin, Di Zhang, Zaixi Jin, Ruofan Wang, Yinkai Gerasimiuk, Michal Dinesh, Ravi K. Smerkous, Alex Shi, Lihan Zheng, Joy Lam, Ian Wu, Xuekun Liu, Shilong Li, Peishan Zhu, Yi Zhao, Ning Parakh, Meenal Serrao, Simran Mohammad, Imran A. Chen, Chao-Yeh Xie, Xiufeng Chen, Tiffany Weinstein, David Barbone, Greg Caglar, Belgin Sunwoo, John B. Li, Fuxin Deng, Jia Wu, Joseph C. Wu, Sanfeng Wang, Mengdi |
| contents | Modern science advances fastest when thought meets action. LabOS represents the first AI co-scientist that unites computational reasoning with physical experimentation through multimodal perception, self-evolving agents, and Extended-Reality(XR)-enabled human-AI collaboration. By connecting multi-model AI agents, smart glasses, and robots, LabOS allows AI to see what scientists see, understand experimental context, and assist in real-time execution. Across applications -- from cancer immunotherapy target discovery to stem-cell engineering and material science -- LabOS shows that AI can move beyond computational design to participation, turning the laboratory into an intelligent, collaborative environment where human and machine discovery evolve together. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_14861 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | LabOS: The AI-XR Co-Scientist That Sees and Works With Humans Cong, Le Smerkous, David Wang, Xiaotong Yin, Di Zhang, Zaixi Jin, Ruofan Wang, Yinkai Gerasimiuk, Michal Dinesh, Ravi K. Smerkous, Alex Shi, Lihan Zheng, Joy Lam, Ian Wu, Xuekun Liu, Shilong Li, Peishan Zhu, Yi Zhao, Ning Parakh, Meenal Serrao, Simran Mohammad, Imran A. Chen, Chao-Yeh Xie, Xiufeng Chen, Tiffany Weinstein, David Barbone, Greg Caglar, Belgin Sunwoo, John B. Li, Fuxin Deng, Jia Wu, Joseph C. Wu, Sanfeng Wang, Mengdi Artificial Intelligence Modern science advances fastest when thought meets action. LabOS represents the first AI co-scientist that unites computational reasoning with physical experimentation through multimodal perception, self-evolving agents, and Extended-Reality(XR)-enabled human-AI collaboration. By connecting multi-model AI agents, smart glasses, and robots, LabOS allows AI to see what scientists see, understand experimental context, and assist in real-time execution. Across applications -- from cancer immunotherapy target discovery to stem-cell engineering and material science -- LabOS shows that AI can move beyond computational design to participation, turning the laboratory into an intelligent, collaborative environment where human and machine discovery evolve together. |
| title | LabOS: The AI-XR Co-Scientist That Sees and Works With Humans |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2510.14861 |