📄 中文摘要
自驾实验室（SDL）的出现通过将人工智能与机器人自动化相结合，改变了科学发现的方法论，创建了能够自主生成假设、进行实验和分析的闭环实验系统。这种技术有望将研究时间从数年缩短至数周，但其部署带来了前所未有的安全挑战，这些挑战与传统实验室或纯数字化 AI 有所不同。Safe-SDL 提出了一个全面的框架，用于在 AI 驱动的自主实验室中建立强大的安全边界和控制机制。研究识别并分析了关键的“语法与安全差距”，即 AI 生成的语法正确命令与其物理实现之间的脱节。
安全自驾实验室：为 AI 驱动的自驾实验室建立安全边界和控制机制
📄 English Summary
Safe-SDL:Establishing Safety Boundaries and Control Mechanisms for AI-Driven Self-Driving Laboratories
The emergence of Self-Driving Laboratories (SDLs) transforms the methodology of scientific discovery by integrating AI with robotic automation to create closed-loop experimental systems capable of autonomous hypothesis generation, experimentation, and analysis. While promising to reduce research timelines from years to weeks, their deployment introduces unprecedented safety challenges that differ from traditional laboratories or purely digital AI. Safe-SDL presents a comprehensive framework for establishing robust safety boundaries and control mechanisms in AI-driven autonomous laboratories. The research identifies and analyzes the critical 'Syntax-to-Safety Gap'—the disconnect between AI-generated syntactically correct commands and their physical implementation.