ORGANA：用于自动化化学实验与表征的机器人助手
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
AI总结：
本文提出 ORGANA 机器人系统，结合 LLM 交互、视觉反馈、人机协同决策与并行调度，自动完成多类化学实验，并显著降低用户负担与时间成本。
摘要：
化学实验可能耗费大量资源和人力，通常需要执行诸如电化学中抛光电极之类的手动任务。传统实验室自动化基础设施在适应新实验方面面临挑战。为解决这一问题，我们推出 ORGANA，这是一种辅助机器人系统，利用决策和感知工具自动化各类化学实验。它在化学家参与回路的情况下进行决策，以控制机器人和实验室设备。ORGANA 使用 Large Language Models（LLM，大语言模型）与化学家交互，以推导实验目标、处理歧义并提供实验日志。ORGANA 借助视觉反馈规划并执行复杂任务，同时支持调度和并行任务执行。我们在溶解度、pH 测量、重结晶和电化学实验中展示了 ORGANA 的能力。在电化学中，它并行执行一个19步计划，以表征用于液流电池的醌衍生物。我们的用户研究表明，ORGANA 将挫败感和体力需求降低了50%以上，用户使用它时平均节省80.3%的时间。
英文摘要：
Chemistry experiments can be resource- and labor-intensive, often requiring manual tasks like polishing electrodes in electrochemistry. Traditional lab automation infrastructure faces challenges adapting to new experiments. To address this, we introduce ORGANA, an assistive robotic system that automates diverse chemistry experiments using decision-making and perception tools. It makes decisions with chemists in the loop to control robots and lab devices. ORGANA interacts with chemists using Large Language Models (LLMs) to derive experiment goals, handle disambiguation, and provide experiment logs. ORGANA plans and executes complex tasks with visual feedback, while supporting scheduling and parallel task execution. We demonstrate ORGANA's capabilities in solubility, pH measurement, recrystallization, and electrochemistry experiments. In electrochemistry, it executes a 19-step plan in parallel to characterize quinone derivatives for flow batteries. Our user study shows ORGANA reduces frustration and physical demand by over 50%, with users saving an average of 80.3% of their time when using it.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
