Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation
<p>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 div...
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| مؤلفون آخرون: | , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
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| _version_ | 1852016319433539584 |
|---|---|
| author | Ryo Tamura (1957942) |
| author2 | Hiromichi Taketa (22302314) Satoshi Murata (423118) Daisuke Ryuno (22302317) Tomotaka Yokota (22302320) Koji Tsuda (86274) Shoichi Matsuda (448382) |
| author2_role | author author author author author author |
| author_facet | Ryo Tamura (1957942) Hiromichi Taketa (22302314) Satoshi Murata (423118) Daisuke Ryuno (22302317) Tomotaka Yokota (22302320) Koji Tsuda (86274) Shoichi Matsuda (448382) |
| author_role | author |
| dc.creator.none.fl_str_mv | Ryo Tamura (1957942) Hiromichi Taketa (22302314) Satoshi Murata (423118) Daisuke Ryuno (22302317) Tomotaka Yokota (22302320) Koji Tsuda (86274) Shoichi Matsuda (448382) |
| dc.date.none.fl_str_mv | 2025-09-24T08:40:06Z |
| dc.identifier.none.fl_str_mv | 10.6084/m9.figshare.30196478.v1 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Seamless_integration_of_legacy_robotic_systems_into_a_self-driving_laboratory_via_NIMO_a_case_study_on_liquid_handler_automation/30196478 |
| dc.rights.none.fl_str_mv | CC BY info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Microbiology Pharmacology Ecology Sociology Computational Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified Self-driving laboratory liquid handler automation Bayesian optimization |
| dc.title.none.fl_str_mv | Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>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.</p> <p>NIMO enables AI-driven automation in self-driving labs by bridging diverse experimental systems, including those using non-Python platforms, greatly enhancing SDL accessibility and flexibility.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_586de697be98f07410ab55a3cc8a7668 |
| identifier_str_mv | 10.6084/m9.figshare.30196478.v1 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30196478 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY |
| spelling | Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automationRyo Tamura (1957942)Hiromichi Taketa (22302314)Satoshi Murata (423118)Daisuke Ryuno (22302317)Tomotaka Yokota (22302320)Koji Tsuda (86274)Shoichi Matsuda (448382)MedicineMicrobiologyPharmacologyEcologySociologyComputational BiologySpace ScienceBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedSelf-driving laboratoryliquid handler automationBayesian optimization<p>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.</p> <p>NIMO enables AI-driven automation in self-driving labs by bridging diverse experimental systems, including those using non-Python platforms, greatly enhancing SDL accessibility and flexibility.</p>2025-09-24T08:40:06ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.30196478.v1https://figshare.com/articles/dataset/Seamless_integration_of_legacy_robotic_systems_into_a_self-driving_laboratory_via_NIMO_a_case_study_on_liquid_handler_automation/30196478CC BYinfo:eu-repo/semantics/openAccessoai:figshare.com:article/301964782025-09-24T08:40:06Z |
| spellingShingle | Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation Ryo Tamura (1957942) Medicine Microbiology Pharmacology Ecology Sociology Computational Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified Self-driving laboratory liquid handler automation Bayesian optimization |
| status_str | publishedVersion |
| title | Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation |
| title_full | Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation |
| title_fullStr | Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation |
| title_full_unstemmed | Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation |
| title_short | Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation |
| title_sort | Seamless integration of legacy robotic systems into a self-driving laboratory via NIMO: a case study on liquid handler automation |
| topic | Medicine Microbiology Pharmacology Ecology Sociology Computational Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified Self-driving laboratory liquid handler automation Bayesian optimization |