Intelligent Chemist Robot: Towards an Autonomous Laboratory
https://doi.org/10.26907/1562-5419-2025-28-5-997-1014
Abstract
This paper describes a hardware and software platform that enables automated chemical syntheses, including the preparation, heating, and mixing of reaction mixtures, as well as post-synthesis dilution sampling and sending for high-performance liquid chromatography (HPLC) analysis, followed by automated processing of the results. A custom Python library, ChemBot, was developed to control individual robotic devices, and a client web server was created to manage the entire system. A web interface was created to view the system status and the progress of syntheses. The performance of the entire platform for performing experiments was tested by performing aldol condensation syntheses, where the ratio of reagents, the catalyst and its amount, the temperature and time of synthesis were varied. Writing custom code to monitor and control the entire system is an important step toward integrating the robotic system with artificial intelligence (AI), which will ultimately enable the transition to an autonomous laboratory, where target molecule prediction and synthesis, experimental execution and analysis, and, if necessary, refinement or modification of the model will be performed automatically, without the need for human intervention.
About the Authors
Musa Shamilevich Adygamov
Kazan (Volga region) Federal University
Russian Federation
Russian Federation
Anton Olegovich Golub
Kazan (Volga region) Federal University
Russian Federation
Russian Federation
Emil Rinatovich Saifullin
Kazan (Volga region) Federal University
Russian Federation
Russian Federation
Timur Rustemovich Gimadiev
Kazan (Volga region) Federal University
Russian Federation
Russian Federation
Nikita Yurievich Serov
Kazan (Volga region) Federal University
Russian Federation
Russian Federation
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Review
For citations:
Adygamov M.Sh., Golub A.O., Saifullin E.R., Gimadiev T.R., Serov N.Yu. Intelligent Chemist Robot: Towards an Autonomous Laboratory. Russian Digital Libraries Journal. 2025;28(5):997-1014. (In Russ.) https://doi.org/10.26907/1562-5419-2025-28-5-997-1014
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