Steering towards safe self-driving laboratories

23 December 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

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, 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 of SDL research to ensure necessary safeguards against potential accidents that range from near-misses to catastrophic failures. This perspective examines the trajectory of self-driving laboratories, 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.

Keywords

Automation
Robotics
Machine Learning
Artificial intelligence
Self-driving laboratory
Safety

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