The Development of a Robotic Digital Twin for the Life Science Sector

E. P. Hinchy; N. Cunningham; A. Doohan; M. Hassanpour; E. Nwanji; D. O’Malley; A. Ryan; M. Zeinali

doi:10.1007/978-3-031-38241-3_64

The Development of a Robotic Digital Twin for the Life Science Sector

E. P. Hinchy
, N. Cunningham
, A. Doohan
, M. Hassanpour
, E. Nwanji
, D. O’Malley
, A. Ryan
, M. Zeinali

University of Limerick

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Monotonous sorting operations in the life sciences sector can lead to workflow issues and are prone to human error. Automation and digital twins can be used to help eliminate these issues for such manual sorting processes. To demonstrate this, a robotic cell digital twin and corresponding physical twin were designed, developed and fabricated for an automated test tube sorting application aimed at the life sciences sector. This system used a KUKA KR6 industrial robot and bespoke sorting carousel. A process digital twin was developed for the system using MATLAB Simulink and Kuka Sim software. A hybrid approach was used to calculate the cycle time to sort a batch of 20 test tubes, leveraging both digital and physical twins. The batch sorting cycle time was calculated to be approximately 316 s, corresponding to 320 test tubes per hour. It was demonstrated that such a system can speed up tedious sorting operations, and free up lab technicians to do more complex, rewarding tasks.

Original language	English
Title of host publication	Flexible Automation and Intelligent Manufacturing
Subtitle of host publication	Establishing Bridges for More Sustainable Manufacturing Systems - Proceedings of FAIM 2023
Editors	Francisco J. G. Silva, Raul D.S.G. Campilho, António B. Pereira
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	567-574
Number of pages	8
ISBN (Print)	9783031382406
DOIs	https://doi.org/10.1007/978-3-031-38241-3_64
Publication status	Published - 2024
Event	32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023 - Porto, Portugal Duration: 18 Jun 2023 → 22 Jun 2023

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023
Country/Territory	Portugal
City	Porto
Period	18/06/23 → 22/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Digital Twin
Life Sciences
Robotics
Smart Manufacturing

Access to Document

10.1007/978-3-031-38241-3_64

Cite this

Hinchy, E. P., Cunningham, N., Doohan, A., Hassanpour, M., Nwanji, E., O’Malley, D., Ryan, A., & Zeinali, M. (2024). The Development of a Robotic Digital Twin for the Life Science Sector. In F. J. G. Silva, R. D. S. G. Campilho, & A. B. Pereira (Eds.), Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems - Proceedings of FAIM 2023 (pp. 567-574). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-38241-3_64

Hinchy, E. P. ; Cunningham, N. ; Doohan, A. et al. / The Development of a Robotic Digital Twin for the Life Science Sector. Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems - Proceedings of FAIM 2023. editor / Francisco J. G. Silva ; Raul D.S.G. Campilho ; António B. Pereira. Springer Science and Business Media Deutschland GmbH, 2024. pp. 567-574 (Lecture Notes in Mechanical Engineering).

@inproceedings{1e4291c280944818b2b7333db8098027,

title = "The Development of a Robotic Digital Twin for the Life Science Sector",

abstract = "Monotonous sorting operations in the life sciences sector can lead to workflow issues and are prone to human error. Automation and digital twins can be used to help eliminate these issues for such manual sorting processes. To demonstrate this, a robotic cell digital twin and corresponding physical twin were designed, developed and fabricated for an automated test tube sorting application aimed at the life sciences sector. This system used a KUKA KR6 industrial robot and bespoke sorting carousel. A process digital twin was developed for the system using MATLAB Simulink and Kuka Sim software. A hybrid approach was used to calculate the cycle time to sort a batch of 20 test tubes, leveraging both digital and physical twins. The batch sorting cycle time was calculated to be approximately 316 s, corresponding to 320 test tubes per hour. It was demonstrated that such a system can speed up tedious sorting operations, and free up lab technicians to do more complex, rewarding tasks.",

keywords = "Digital Twin, Life Sciences, Robotics, Smart Manufacturing",

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note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023 ; Conference date: 18-06-2023 Through 22-06-2023",

year = "2024",

doi = "10.1007/978-3-031-38241-3\_64",

language = "English",

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series = "Lecture Notes in Mechanical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

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booktitle = "Flexible Automation and Intelligent Manufacturing",

}

Hinchy, EP, Cunningham, N, Doohan, A, Hassanpour, M, Nwanji, E, O’Malley, D, Ryan, A & Zeinali, M 2024, The Development of a Robotic Digital Twin for the Life Science Sector. in FJG Silva, RDSG Campilho & AB Pereira (eds), Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems - Proceedings of FAIM 2023. Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, pp. 567-574, 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023, Porto, Portugal, 18/06/23. https://doi.org/10.1007/978-3-031-38241-3_64

The Development of a Robotic Digital Twin for the Life Science Sector. / Hinchy, E. P.; Cunningham, N.; Doohan, A. et al.
Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems - Proceedings of FAIM 2023. ed. / Francisco J. G. Silva; Raul D.S.G. Campilho; António B. Pereira. Springer Science and Business Media Deutschland GmbH, 2024. p. 567-574 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The Development of a Robotic Digital Twin for the Life Science Sector

AU - Hinchy, E. P.

AU - Cunningham, N.

AU - Doohan, A.

AU - Hassanpour, M.

AU - Nwanji, E.

AU - O’Malley, D.

AU - Ryan, A.

AU - Zeinali, M.

PY - 2024

Y1 - 2024

N2 - Monotonous sorting operations in the life sciences sector can lead to workflow issues and are prone to human error. Automation and digital twins can be used to help eliminate these issues for such manual sorting processes. To demonstrate this, a robotic cell digital twin and corresponding physical twin were designed, developed and fabricated for an automated test tube sorting application aimed at the life sciences sector. This system used a KUKA KR6 industrial robot and bespoke sorting carousel. A process digital twin was developed for the system using MATLAB Simulink and Kuka Sim software. A hybrid approach was used to calculate the cycle time to sort a batch of 20 test tubes, leveraging both digital and physical twins. The batch sorting cycle time was calculated to be approximately 316 s, corresponding to 320 test tubes per hour. It was demonstrated that such a system can speed up tedious sorting operations, and free up lab technicians to do more complex, rewarding tasks.

AB - Monotonous sorting operations in the life sciences sector can lead to workflow issues and are prone to human error. Automation and digital twins can be used to help eliminate these issues for such manual sorting processes. To demonstrate this, a robotic cell digital twin and corresponding physical twin were designed, developed and fabricated for an automated test tube sorting application aimed at the life sciences sector. This system used a KUKA KR6 industrial robot and bespoke sorting carousel. A process digital twin was developed for the system using MATLAB Simulink and Kuka Sim software. A hybrid approach was used to calculate the cycle time to sort a batch of 20 test tubes, leveraging both digital and physical twins. The batch sorting cycle time was calculated to be approximately 316 s, corresponding to 320 test tubes per hour. It was demonstrated that such a system can speed up tedious sorting operations, and free up lab technicians to do more complex, rewarding tasks.

KW - Digital Twin

KW - Life Sciences

KW - Robotics

KW - Smart Manufacturing

UR - https://www.scopus.com/pages/publications/85171588790

U2 - 10.1007/978-3-031-38241-3_64

DO - 10.1007/978-3-031-38241-3_64

M3 - Conference contribution

AN - SCOPUS:85171588790

SN - 9783031382406

T3 - Lecture Notes in Mechanical Engineering

SP - 567

EP - 574

BT - Flexible Automation and Intelligent Manufacturing

A2 - Silva, Francisco J. G.

A2 - Campilho, Raul D.S.G.

A2 - Pereira, António B.

PB - Springer Science and Business Media Deutschland GmbH

T2 - 32nd International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2023

Y2 - 18 June 2023 through 22 June 2023

ER -

Hinchy EP, Cunningham N, Doohan A, Hassanpour M, Nwanji E, O’Malley D et al. The Development of a Robotic Digital Twin for the Life Science Sector. In Silva FJG, Campilho RDSG, Pereira AB, editors, Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems - Proceedings of FAIM 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 567-574. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-031-38241-3_64

The Development of a Robotic Digital Twin for the Life Science Sector

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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