Navigating the path to autonomy: real-world lessons from an air-free self-driving laboratory

Digital Discovery 2026 Open access

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Authors: Lily A. Robertson, Ilya A. Shkrob, Rafael Vescovi, Logan T. Ward, Ryan Lewis, Noah H. Paulson, Tobias Ginsburg, C. R. Stone, Benjamin T. Diroll, Magali S. Ferrandon, Zhengcheng Zhang
DOI: 10.1039/d6dd00269b
Cited by: 1
References: 25

Abstract

While autonomous experimentation has promise to accelerate discovery in physcial sciences, the real-world integration of predictive models and experimentation is non-trivial especially for sensitive chemistries that must remain air and water free.

Fields of Study & Subjects

Micro and Nano Robotics Machine Learning in Materials Science Scientific Computing and Data Management

Publication details

Journal / source
Digital Discovery
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
7
Pages
2787–2794
Publication date
1 January 2026
Language
EN