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

https://mdr.nims.go.jp/datasets/05a74658-08b8-433a-8106-5c98dfb3a0bd

## File

- [Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO  a case study on liquid handler automation.pdf](https://mdr.nims.go.jp/filesets/685cebff-be73-435f-947a-630326c22d83/download) ([Detail](https://mdr.nims.go.jp/filesets/685cebff-be73-435f-947a-630326c22d83.md))

## Id

05a74658-08b8-433a-8106-5c98dfb3a0bd

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-11-26T20:07:39.260713Z

## Updated at

2025-11-27T23:30:14.342668Z

## Published at

2025-11-27T23:22:39.155939Z

## Doi



## First published url

https://doi.org/10.1080/27660400.2025.2565144

## Date published

2025-12-31

## Recorded date published

2025-12-31

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: 'Seamless integration of legacy robotic systems into a self-driving laboratory
    via NIMO: a case study on liquid handler automation'
  title_type: original
  lang: en

## Description

- description: 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 diverse exploratory objectives. NIMO
    provides a framework for integrating AI into robotic experimental systems that
    are controlled by other OS platforms based on both Python and non-Python languages.
    In this study, we demonstrate the realization of an SDL via NIMO by integrating
    AI into a legacy robotic system. As a proof of concept, we integrated an automated
    liquid handling system controlled by a Visual Basic (VB) program into the SDL
    through NIMO and performed parameter optimization of the dispensing process using
    Bayesian optimization, thereby enabling autonomous and automated experiments.
    NIMO facilitates AI integration through straightforward file exchanges, ensuring
    compatibility with robotic experimental systems programmed in non-Python languages
    such as VB and LabVIEW, as well as SDLs managed by other OS platforms. We anticipate
    that NIMO’s ability to support a broad spectrum of AI-driven autonomous experiments
    will significantly enhance the functionality and versatility of SDLs.
  description_type: abstract
  lang: und

## Creator

- name: Ryo Tamura
  role: author
  orcid: https://orcid.org/0000-0002-0349-358X
- name: Hiromichi Taketa
  role: author
- name: Satoshi Murata
  role: author
- name: Daisuke Ryuno
  role: author
- name: Tomotaka Yokota
  role: author
- name: Koji Tsuda
  role: author
  orcid: https://orcid.org/0000-0002-4288-1606
- name: Shoichi Matsuda
  role: author
  orcid: https://orcid.org/0000-0002-0640-3404

## Contact agent



## Publisher

organization: Informa UK Limited

## Managing organization



## Keyword

- subject: Self-driving laboratories
  schema: not_defined
- subject: NIMO
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: 'Science and Technology of Advanced Materials: Methods'
  issn: '27660400'
  volume: '5'
  issue: '1'
  article_number: '2565144'

## Conference



## Related item



## Funding

- funder_name: Ministry of Education, Culture, Sports, Science, and Technology (MEXT)
    Program
- identifier: JPMXP1121467561
  funder_name: Data Creation and Utilization Type Materials Research and Development
    Project
- identifier: JPMJPR24T8
  funder_name: JST, PRESTO

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## Fileset

- id: 685cebff-be73-435f-947a-630326c22d83
  filename: Seamless integration of legacy robotic systems into a self-driving laboratory
    via NIMO  a case study on liquid handler automation.pdf
  content_type: application/pdf
  size: 7420990
  md5: f7610b6faa8e46c420d342d08ac7cea4

## Thumbnail

fileset_id: 685cebff-be73-435f-947a-630326c22d83
filename: Seamless integration of legacy robotic systems into a self-driving laboratory
  via NIMO  a case study on liquid handler automation.pdf