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Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges
Andrew I Cooper1, Patrick Courtney2, Kourosh Darvish3,4
1University of Liverpool, Liverpool, UK.
Science Robotics
|September 24, 2025
Abstract
None:
Science laboratory automation enables accelerated discovery in life sciences and materials. However, it requires interdisciplinary collaboration to address challenges such as robust and flexible autonomy, reproducibility, throughput, standardization, the role of human scientists, and ethics. This article highlights these issues, reflecting perspectives from leading experts in laboratory automation across different disciplines of the natural sciences.

