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Steering towards safe self-driving laboratories

delete2025-08-18
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PRE
AI
S
Shi Xuan Leong
C
Caleb E. Griesbach
R
Rui Zhang
K
Kourosh Darvish
Y
Yuchi Zhao
A
Abhijoy Mandal
Y
Yunheng Zou
H
Han Hao
V
Varinia Bernales *
A
Alán Aspuru‐Guzik *
DOI:10.1038/s41570-025-00747-xdelete
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Abstract

Abstract

En 中文
The past decade has witnessed remarkable advancements in autonomous systems, such as automobiles that are evolving from traditional vehicles to ones capable of navigating complex environments without human intervention. Similarly, the rise of self-driving laboratories (SDLs), which leverage robotics and artificial intelligence to accelerate discovery, is driving a paradigm shift in scientific research. As SDLs evolve to expand the scope of chemical processes that can be performed, it is essential to bring safety to the forefront to ensure that the necessary safeguards are in place to mitigate against potential accidents that range from near-misses to catastrophic failures. This Perspective examines the development trajectory of SDLs, juxtaposing their development with those of other autonomous technologies, with a particular focus on safety. We explore current safety status and concerns, identify opportunities for innovation to shape this rapidly evolving landscape, and reflect on the actions the SDL community can take moving forward. Self-driving laboratories promise accelerated discovery. As the scope of chemical processes and level of autonomy in these laboratories expand, a comprehensive safety framework is essential. We discuss here the safety development trajectory of SDLs, identifying opportunities for innovation to shape this rapidly evolving landscape.

Journal

Nature Reviews Chemistry cover
Nature Reviews Chemistry
IF:
51.7
Papers:
1.0K
Citations:
1.6W

Organization

D
Department of Computer Science
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1.7K
Papers: 998
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D
Department of Chemistry
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6.9K
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U
university of toronto
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Citations: 165
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