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.

翻译：科学发现日益依赖高通量表征，然而自动化进程受到商用图形用户界面（GUI）的阻碍，且现有基于API的系统泛化能力有限。我们提出Owl-AuraID——一种软硬件协同的具身智能体系统，该系统采用GUI原生范式，通过人类专家相同的界面操作仪器。其以技能为中心的核心框架将类型1（GUI操作）与类型2（数据分析）技能集成为端到端工作流，连接物理样品处理与科学解释。Owl-AuraID覆盖十大类精密仪器及多样化工作流，包括多模态光谱分析、显微成像与晶体学分析，支持FTIR、NMR、AFM和TGA等模态。综上，Owl-AuraID为自动化实验室提供了实用且可扩展的基础，并通过可复用的操作与分析技能展示了实验室智能演进路径。代码开源于https://github.com/OpenOwlab/AuraID。