Owl-AuraID 1.0: An Intelligent System for Autonomous Scientific Instrumentation and Scientific Data Analysis
Han Deng, Anqi Zou, Hanling Zhang, Ben Fei, Chengyu Zhang, Haobo Wang, Xinru Guo, Zhenyu Li, Xuzhu Wang, Peng Yang, Fujian Zhang, Weiyu Guo, Xiaohong Shao, Zhaoyang Liu, Shixiang Tang, Zhihui Wang, and Wanli Ouyang

TL;DR
Owl-AuraID is an integrated software-hardware system enabling autonomous scientific instrument operation and data analysis through GUI-native interfaces, supporting diverse instruments and workflows for laboratory automation.
Contribution
It introduces a skill-centric framework that combines GUI operation and data analysis, facilitating autonomous laboratory workflows across multiple instrument types.
Findings
Supports ten categories of precision instruments.
Demonstrates broad coverage of scientific workflows.
Provides an extensible foundation for autonomous labs.
Abstract
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…
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