LLMs can generate robotic scripts from goal-oriented instructions in biological laboratory automation

Understand

The use of laboratory automation by all researchers may substantially accelerate scientific activities by humans, including those in the life sciences.

• However, computer programs to operate robots should be written to implement laboratory automation, which requires technical knowledge and skills that may not be part of a researcher's training or expertise.
• In the last few years, there has been remarkable development in large language models (LLMs) such as GPT-4, which can generate computer codes based on natural language instructions.
• In this study, we used LLMs, including GPT-4, to generate scripts for robot operations in biological experiments based on ambiguous instructions.