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Design of a Digital Twin of a Robotic Cell for Product Quality Control

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 472)


Progress in automation is based on the development of methods that allow the construction of flexible and reconfigurable systems to perform tasks that need to be completed in the shortest possible time and with the required quality. In this sense, the development and implementation of digital twins, which allow the prediction of the behavior of physical processes, services or systems and system optimization in a virtual, simulated environment, is steadily increasing in the industrial environment. This article presents the development of a digital twin of a robotic cell by coupling state-of-the-art software environments. The individual parts of the digital twin system are presented and combined to form a functioning automated system. The operation of the virtual cell is verified by simulating a cycle consisting of transporting the product via conveyor belts through the safety door into the quality control cell, where inspection is performed using the UR5 robotic arm.


  • Digital twin
  • Robotics
  • Quality control
  • Home appliance device

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  • DOI: 10.1007/978-3-031-05230-9_2
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  1. Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., Devine, D.: Digital twin: origin to future. Appl. Syst. Innov. 4, 36 (2021).

  2. Shao, G., Helu, M.: Framework for a digital twin in manufacturing: Scope and requirements. Manuf. Lett. 24, 105–107 (2020).

  3. Malakuti, S., Schlake, J., Ganz, C., Harper, K.E., Petersen, H.: Digital Twin: An Enabler for New Business Models (2019)

    Google Scholar 

  4. Jin, T., et al.: Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications. Nat. Commun. 11(1), 5381 (2020).

  5. Zheng, Y., Yang, S., Cheng, H.: An application framework of digital twin and its case study. J. Ambient Intell. Hum. Comput. 10(3), 1141–1153 (2019).

  6. Park, K.T., et al.: Design and implementation of a digital twin application for a connected micro smart factory. Int. J. Comput. Integr. Manuf. 32(6), 596–614 (2019).

  7. Kuehner, K.J., Scheer, R., Strassburger, S.: Digital twin: finding common ground – a meta-review. Procedia CIRP 104, 1227–1232 (2021).

  8. Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F.: Digital twin-driven product design, manufacturing and service with big data. Int. J. Adv. Manuf. Technol. 94(9), 3563–3576 (2018)

  9. Schroeder, G.N., Steinmetz, C., Pereira, C.E., Espindola, D.B.: Digital twin data modeling with AutomationML and a communication methodology for data exchange. IFAC-PapersOnLine 49(30), 12–17 (2016).

  10. Liu, M., Fang, S., Dong, H., Xu, C.: Review of digital twin about concepts, technologies, and industrial applications. J. Manuf. Syst. 58, 346–361 (2021).

  11. Adamenko, D., Kunnen, S., Nagarajah, A.: Comparative analysis of platforms for designing a digital twin. In: Ivanov, V., Trojanowska, J., Pavlenko, I., Zajac, J., Peraković, D. (eds.) Advances in Design, Simulation and Manufacturing III, pp. 3–12. Springer International Publishing, Cham (2020)

    Google Scholar 

  12. Lim, K.Y.H., Zheng, P., Chen, C.-H.: A state-of-the-art survey of digital twin: techniques, engineering product lifecycle management and business innovation perspectives. J. Intell. Manuf. 31(6), 313–1337 (2020).

  13. Phanden, R.K., Sharma, P., Dubey, A.: A review on simulation in digital twin for aerospace, manufacturing and robotics. Mater. Today: Proc. 38, 174–178 (2021).

  14. Virtual Commissioning and Operator Training with SIMIT: Accessed 7 Dec 2021

  15. Siemens PLM Software Website: Digital Twin: Accessed 7 Dec 2021

  16. Mechatronic Concept Design: Siemens Software: Accessed 7 Dec 2021

  17. SIMATIC S7-PLCSIM Advanced V3.0 – Industry Support Siemens: Accessed 7 Dec 2021

  18. Totally Integrated Automation Portal: Automation Software – Siemens Global: Accessed 7 Dec 2021

  19. Martinez, S., et al.: A digital twin demonstrator to enable flexible manufacturing with robotics: a process supervision case study. Prod. Manuf. Res. 9(1), 140–156 (2021).

  20. Collaborative Robotic Automation: Cobots from Universal Robots: Accessed 7 Dec 2021

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The authors thank the Slovenian Ministry of Higher Education, Science and Technology and the Slovenian Research Agency (Research Core Funding No. P2-0157) for financial support that made this work possible. The authors also acknowledge financial support from the ROBKONCEL project (OP20.03530).

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Correspondence to Janez Gotlih .

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Gotlih, J., Brezočnik, M., Ficko, M., Jovanović, M., Belšak, R., Karner, T. (2022). Design of a Digital Twin of a Robotic Cell for Product Quality Control. In: Karabegović, I., Kovačević, A., Mandžuka, S. (eds) New Technologies, Development and Application V. NT 2022. Lecture Notes in Networks and Systems, vol 472. Springer, Cham.

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