可编程光学云实验室
A Programmable Optics Cloud Laboratory
- Massachusetts Institute of Technology（麻省理工学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本文提出可编程云光学基础设施（PICO），一种机器人云实验室架构，通过领域特定抽象层实现自由空间光学实验的远程交互、脚本化、自主运行与版本控制，提升可重构性与可复现性。
AI中文摘要：
实验室自动化可以提高实验吞吐量、可访问性和可重复性，但许多机器人实验室系统仍然难以重新配置。这一挑战在自由空间光学领域尤为突出，因为该领域的实验由异构组件构建，需要精确对准，并且随着实验目标的变化而频繁重新布置。在这项工作中，我们提出了可编程云光学基础设施（PICO），这是一种机器人云实验室架构，旨在使可重新配置的光学实验更易于编程、操作和复现。PICO提供了一种通用的领域特定抽象和软件层，通过该层可以在不同的用户界面之间控制实验配置和操作。这使得同一个物理实验室能够支持远程交互式使用、脚本化实验、自主例程以及版本控制等功能。我们在一个机器人自由空间光学平台上实现了PICO，并通过一个实验案例研究对其进行了演示。
英文摘要：
Laboratory automation can improve experimental throughput, accessibility, and reproducibility, but many robotic laboratory systems remain difficult to reconfigure. This challenge is especially pronounced in free-space optics, where experiments are built from heterogeneous components, require precise alignment, and are frequently rearranged as experimental goals change. In this work, we present the Programmable Infrastructure for Cloud Optics (PICO), a robotic cloud-laboratory architecture designed to make reconfigurable optical experiments easier to program, operate, and reproduce. PICO provides a common domain-specific abstraction and software layer through which experimental configurations and actions can be controlled across different user interfaces. This enables the same physical laboratory to support remote interactive use, scripted experiments, autonomous routines, and features such as version control. We implement PICO on a robotic free-space optics platform and demonstrate it through an experimental case study.
