让机器像专家一样操作实验仪器并分析数据，实现全自动科研实验。
Owl-AuraID 1.0: An Intelligent System for Autonomous Scientific Instrumentation and Scientific Data Analysis
- 通过图形界面原生操作，让机器模仿人类专家控制精密仪器。
- 覆盖十类仪器，支持红外、核磁、原子力显微等多模态分析。
- 技能可复用，适合想搭建智能实验室的研究者和工程师。
科学发现越来越依赖高通量表征，但自动化受限于专有图形界面和现有基于API系统的泛化能力不足。我们提出Owl-AuraID，一个软硬件协同的具身智能体系统，采用图形界面原生范式，通过与人类专家相同的界面操控仪器。其以技能为中心的框架将类型1（图形界面操作）和类型2（数据分析）技能整合为端到端工作流，连接物理样品处理与科学解释。Owl-AuraID在十类精密仪器和多样工作流中表现出广泛适用性，涵盖多模态光谱分析、显微成像及晶体学分析，支持FTIR、NMR、AFM、TGA等模态。整体上，Owl-AuraID为自主实验室提供了实用且可扩展的基础，并展示了通过可复用操作与分析技能演化实验室智能的路径。代码已公开于https://github.com/OpenOwlab/AuraID。
原文摘要 · Abstract (English)
Scientific discovery increasingly depends on high-throughput characterization, yet automation is hindered by proprietary GUIs and the limited generalizability of existing API-based systems. We present Owl-AuraID, a software-hardware collaborative embodied agent system that adopts a GUI-native paradigm to operate instruments through the same interfaces as human experts. Its skill-centric framework integrates Type-1 (GUI operation) and Type-2 (data analysis) skills into end-to-end workflows, connecting physical sample handling with scientific interpretation. Owl-AuraID demonstrates broad coverage across ten categories of precision instruments and diverse workflows, including multimodal spectral analysis, microscopic imaging, and crystallographic analysis, supporting modalities such as FTIR, NMR, AFM, and TGA. Overall, Owl-AuraID provides a practical, extensible foundation for autonomous laboratories and illustrates a path toward evolving laboratory intelligence through reusable operational and analytical skills. The code are available at https://github.com/OpenOwlab/AuraID.
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