Autonomous synthesis laboratories promise to streamline the plan–make–measure–analyze iteration loop. Here, we comment on the barriers in the field, the promise of a human on-the-loop approach, and strategies for optimizing accessibility, accuracy, and efficiency of autonomous laboratories.
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Acknowledgements
This work is supported by the startup fundings for Y.Z. and B.O., respectively, from Florida State University.
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Liu, X., Ouyang, B. & Zeng, Y. Balancing autonomy and expertise in autonomous synthesis laboratories. Nat Comput Sci 5, 92–94 (2025). https://doi.org/10.1038/s43588-025-00769-x
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DOI: https://doi.org/10.1038/s43588-025-00769-x
