用AI+机器人自动搭建和校准光学实验，提升精度与效率。
AI-Driven Robotics for Optics
- 通过AI生成光路配置，机器人自动组装与微米级对准。
- 测量一致性优于人工，支持光束特性、偏振映射等多任务。
- 适合需要高重复性实验的科研人员，推动远程实验发展。
光学是纳米光子学、量子信息、材料科学、生物成像和计量学等多个领域研究的基础。然而，光学实验的设计、装配和对准仍主要依赖人工，限制了实验通量和可重复性。由于对精度要求严格且实验室中光路配置多样，自动化面临挑战。本文提出一个集成生成式人工智能、计算机视觉与机器人的平台，可将用户目标转化为有效光路配置，利用机械臂完成组装，并通过机器人部署的工具实现微米级精细对准。随后执行包括光束表征、偏振测绘和光谱分析在内的多种自动化测量，结果一致性超越人类操作者。该工作首次实现了灵活的光学智能自动化，为远程实验、云实验室及光学科学的高通量发现提供路径。
原文摘要 · Abstract (English)
Optics is foundational to research in many areas of science and engineering, including nanophotonics, quantum information, materials science, biomedical imaging, and metrology. However, the design, assembly, and alignment of optical experiments remain predominantly manual, limiting throughput and reproducibility. Automating such experiments is challenging due to the strict, non-negotiable precision requirements and the diversity of optical configurations found in typical laboratories. Here, we introduce a platform that integrates generative artificial intelligence, computer vision, and robotics to automate free-space optical experiments. The platform translates user-defined goals into valid optical configurations, assembles them using a robotic arm, and performs micrometer-scale fine alignment using a robot-deployable tool. It then executes a range of automated measurements, including beam characterization, polarization mapping, and spectroscopy, with consistency surpassing that of human operators. This work demonstrates the first flexible, AI-driven automation platform for optics, offering a path towards remote operation, cloud labs, and high-throughput discovery in the optical sciences.
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