NIMO Controller: a self-driving laboratory orchestrator based on the Model Context Protocol
The NIMO Controller is a proposed self-driving laboratory orchestrator that utilizes the Model Context Protocol to enhance scientific discovery. This architecture allows both human users and AI agents to interact with the laboratory's functionalities through a unified interface. A case study on color-matching demonstrates the usability of this MCP-based SDL architecture.
- ▪The NIMO Controller aims to improve accessibility in self-driving laboratories by providing a standardized interface for AI agents.
- ▪It features a visual programming interface that enables users to design experimental workflows without coding.
- ▪The system was validated through a case study, showcasing its effectiveness in a color-matching SDL.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.15227 |
| Publication time | Mon, 18 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-18T04:04:54.418Z |
| Last seen | 2026-05-18T04:04:54.418Z |
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| Commercial reuse | May the content be reused commercially? | Not permitted |
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Computer Science > Artificial Intelligence arXiv:2605.15227 (cs) [Submitted on 13 May 2026] Title:NIMO Controller: a self-driving laboratory orchestrator based on the Model Context Protocol Authors:Naruki Yoshikawa, Ryo Tamura View a PDF of the paper titled NIMO Controller: a self-driving laboratory orchestrator based on the Model Context Protocol, by Naruki Yoshikawa and Ryo Tamura View PDF HTML (experimental) Abstract:Self-driving laboratories (SDLs) have attracted increasing attention as a means of accelerating scientific discovery; however, developing SDL software remains technically demanding. To improve accessibility, orchestration software frameworks have been proposed to coordinate SDL components.
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