LabOS: The AI-XR Co-Scientist That Sees and Works With Humans

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Abstract

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 XR-enabled, embodied human-AI collaboration. To empower agentic AI with embodied intelligence, we built LabSuperVision, the first vision-language-model (VLM) benchmark spanning biomedical and materials science laboratories, designed to evaluate scientific perception and reasoning. This endowed LabOS with visual reasoning capabilities that surpass those of general-purpose models on laboratory-specific tasks. By connecting multi-model AI agents, smart glasses, and human-AI-robot collaboration, LabOS allows AI to see what scientists see, understand experimental context, and participate in real-time execution through immersive XR interaction and robotic autonomation. Across applications-from cancer immunotherapy target discovery to cell engineering-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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  1. Further, , utilizing the 3D/4D AI perception through camera feeds, we demonstrate a proof-of-concept cobot module for LabOS, as in (Fig. 3g, Supp. Video 2). This module enablesscientists to run time-consuming and/or repeated portions of the protocol using an adaptive, andspatially aware robotic arm. We demonstrate example protocols loaded in LabOS, such asvortexing, 96-well plate operations, tube handling on incubator/shaker, can be handed off to thecobot to reduce the load on scientists, where agentic and embodied AI with spatial intelligenceprovide a seamless human-AI-robotics collaboration experience (Supp. Video 3).

    I really like the idea of the xr glasses collecting data that can then be used to inform the world model for the co-bot, fascinating approach!