Large language models for chemistry robotics

This paper proposes an approach to automate chemistry experiments using robots by translating natural language instructions into robot-executable plans, using large language models together with task and motion planning. Adding natural language interfaces to autonomous chemistry experiment systems l...

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Vydáno v:	Autonomous robots Ročník 47; číslo 8; s. 1057 - 1086
Hlavní autoři:	Yoshikawa, Naruki, Skreta, Marta, Darvish, Kourosh, Arellano-Rubach, Sebastian, Ji, Zhi, Bjørn Kristensen, Lasse, Li, Andrew Zou, Zhao, Yuchi, Xu, Haoping, Kuramshin, Artur, Aspuru-Guzik, Alán, Shkurti, Florian, Garg, Animesh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.12.2023 Springer Nature B.V
Témata:	Artificial Intelligence Chemical synthesis Chemistry Computer Imaging Constraints Control Domain specific languages Engineering Experiments Iterative methods Language Large language models Mechatronics Motion planning Natural language Natural language processing Pattern Recognition and Graphics Planning Program verification (computers) Recrystallization Robotics Robotics and Automation Robots Skills Translating Vision Plan generation verification Constrained task and motion planning Chemistry lab automation Large language models Self-driving labs
ISSN:	0929-5593, 1573-7527
On-line přístup:	Získat plný text
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