From Prompts to Protocols: An AI Agent for Laboratory Automation
A new AI agent architecture has been developed to automate laboratory protocols, enhancing the efficiency and accuracy of scientific experiments. This system allows scientists to create and monitor experiments using natural language, integrating large language models with laboratory orchestration. Evaluations show a high success rate in protocol generation and a significant reduction in required interface actions.
- ▪The AI agent integrates large language models with laboratory orchestration for protocol automation.
- ▪It enables scientists to create and monitor experiments interactively using natural language.
- ▪The system achieved a 97% success rate in first-attempt protocol generation.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.16552 |
| Publication time | Tue, 19 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-19T04:04:57.272Z |
| Last seen | 2026-05-19T04:04:57.272Z |
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| Summary source text | contentText |
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| Publisher visit | Yes — open original |
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| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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Computer Science > Artificial Intelligence arXiv:2605.16552 (cs) [Submitted on 15 May 2026] Title:From Prompts to Protocols: An AI Agent for Laboratory Automation Authors:Angelos Angelopoulos, James F. Cahoon, Ron Alterovitz View a PDF of the paper titled From Prompts to Protocols: An AI Agent for Laboratory Automation, by Angelos Angelopoulos and 2 other authors View PDF HTML (experimental) Abstract:Automating science laboratories enables faster, safer, more accurate, and more reproducible execution of protocols, accelerating the discovery and testing of new materials, drugs, and more.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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