Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation

<p>The orchestration software (OS) for controlling self-driving laboratories (SDLs) has been advanced significantly in recent years. We developed NIMO (formerly NIMS-OS, NIMS Orchestration System), an OS explicitly designed to integrate multiple artificial intelligence (AI) algorithms with div...

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Bibliographic Details
Main Author:	Ryo Tamura (1957942) (author)
Other Authors:	Hiromichi Taketa (22302314) (author), Satoshi Murata (423118) (author), Daisuke Ryuno (22302317) (author), Tomotaka Yokota (22302320) (author), Koji Tsuda (86274) (author), Shoichi Matsuda (448382) (author)
Published:	2025
Subjects:	Medicine Microbiology Pharmacology Ecology Sociology Computational Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified Self-driving laboratory liquid handler automation Bayesian optimization
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Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation

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