Automated executions of chemical synthesis and discovery has risen as a critical enabling technology. New tools combining advanced robotics with experiment planning by machine learning, known as self-driving labs, are now attainable. However, the optimal deployment of these technologies remains under development, requiring a recursive design-make-build cycle dedicated to tuning and evolving the robotic platform.<br/><br/>This new approach has been termed ‘Flexible automation’ and enables the cost and time-effective design, construction and reconfiguration of automated experiments. By leveraging many of the principles from Industry 4.0, including rapid fabrication , Internet-of-Things devices, cloud-based software, and open source API we have created a set of simple reconfigurable tools to address a diverse set of applications spanning pharmaceutical process chemistry and even impacting mining and resource extraction. This presentation will introduce this method and provide case studies.

Flexible automation: A new approach to meet evolving challenges

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ACS Spring 2023

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