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Main Authors: 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
Format: Preprint
Published: 2025
Subjects:
Artificial Intelligence
Online Access:https://arxiv.org/abs/2510.14861
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Table of 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.

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