Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell

  • Vladimir KutsEmail author
  • Gianfranco E. Modoni
  • Walter Terkaj
  • Toivo Tähemaa
  • Marco Sacco
  • Tauno Otto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10324)


Significant efforts of the current manufacturing companies are devoted to the implementation of the full synchronization between the real world at the shop-floor level and its digital counterpart (so-called Digital Twin). Indeed, a true reflection of the real factory can be exploited to monitor and simulate the factory performance, allowing to adjust and optimize processes, anticipate failures and also investigate problems. One of the major challenge to be tackled in order to realize the Digital Twin is the handling of the factory telemetry, which can track the evolution of the objects in the real world. This paper investigates the potential of an application for supporting and handling the factory telemetry, thus allowing to create a snapshot of the real system that can dynamically augment and enhance the data-driven simulation applications supporting the manufacturing execution phase. As a proof of concept of the architecture, a prototype has been developed in the field of robotics. In such context, the proposed architecture is on the basis of a Virtual Reality tool to simulate human presence for development of safety systems in robotic cells.


Digital Twin Factory telemetry Robotic cell Virtual Reality 



The research was supported by I4MS project SmartIC Robotics - Regional Digital Innovation Hub in Robotics in Estonia.

Authors are grateful to the Integrated Engineering students of Tallinn University of Technology – Vladislav Minakov, Mohammad Tavassolian, Aleksei Tanjuhhin and Tengiz Pataraia helping in experiments and simulations.

The research was partially funded by the project “Smart Manufacturing 2020” within the “Cluster Tecnologico Nazionale Fabbrica Intelligente”.


  1. 1.
    Computers in Spaceflight: The NASA Experience. Accessed 23 Feb 2017
  2. 2.
    Grieves, M.: Digital twin: manufacturing excellence through virtual factory replication (2014). Accessed 23 Feb 2017
  3. 3.
    Fritz, R., Kohlhoff, S.: Integration of Virtual and Physical Production Connection of Engineering Design with the Shop Floor (2015). Accessed 23 Feb 2017Google Scholar
  4. 4.
    Grieves, M., Vickers, J.: Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. In: Kahlen, F.-J., Flumerfelt, S., Alves, A. (eds.) Transdisciplinary Perspectives on Complex Systems, pp. 85–113. Springer, Cham (2017). doi: 10.1007/978-3-319-38756-7_4 CrossRefGoogle Scholar
  5. 5.
    Rosen, R., von Wichert, G., Lo, G., Bettenhausen, K.D.: About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine 48(3), 567–572 (2015). ISSN 2405-8963.
  6. 6.
    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). ISSN 2405-8963.
  7. 7.
    Terkaj, W., Tolio, T., Urgo, M.: A virtual factory approach for in situ simulation to support production and maintenance planning. CIRP Ann.- Manuf. Technol. 64(1), 451–454 (2015)CrossRefGoogle Scholar
  8. 8.
    Kádár, B., Lengyel, A., Monostori, L., Suginishi, Y., Pfeiffer, A., Nonaka, Y.: Enhanced control of complex production structures by tight coupling of the digital and the physical worlds. CIRP Ann. – Manuf. Technol. 59(1), 437–440 (2010)CrossRefGoogle Scholar
  9. 9.
    Brettel, M., Friederichsen, N., Keller, M., Rosenberg, M.: How virtualization, decentralization and network building change the manufacturing landscape an industry 4.0 perspective. Int. J. Mech. Ind. Sci. Eng. 8(1), 37–44 (2014)Google Scholar
  10. 10.
    Modoni, G.E., Sacco, M., Terkaj, W.: A telemetry-driven approach to simulate data-intensive manufacturing processes. Procedia CIRP 57, 281–285 (2016)CrossRefGoogle Scholar
  11. 11.
    Cherubini, A., Passama, R., Crosnier, A., Lasnier, A., Fraisse, P.: Collaborative manufacturing with physical human–robot interaction. Robot. Comput.-Integr. Manuf. 40, 1–13 (2016)CrossRefGoogle Scholar
  12. 12.
    Modoni, G.E., Doukas, M., Terkaj, W., Sacco, M., Mourtzis, D.: Enhancing factory data integration through the development of an ontology: from the reference models reuse to the semantic conversion of the legacy models. Int. J. Comput. Integr. Manuf. (2016). Taylor & FrancisGoogle Scholar
  13. 13.
    Capozzi, F., Lorizzo, V., Modoni, G., Sacco, M.: Lightweight augmented reality tools for lean procedures in future factories. In: De Paolis, L.T., Mongelli, A. (eds.) AVR 2014. LNCS, vol. 8853, pp. 232–246. Springer, Cham (2014). doi: 10.1007/978-3-319-13969-2_18 Google Scholar
  14. 14.
    Forouzan, B.A.: TCP/IP Protocol Suite. McGraw-Hill, Inc., New York City (2002)Google Scholar
  15. 15.
    Modoni, G.E., Veniero, M., Sacco, M.: Semantic knowledge management and integration services for AAL. In: Cavallo, F., Marletta, V., Monteriù, A., Siciliano, P. (eds.) ForItAAL 2016. LNEE, vol. 426, pp. 287–299. Springer, Cham (2017). doi: 10.1007/978-3-319-54283-6_22 CrossRefGoogle Scholar
  16. 16.
    Mahnke, W., Leitner, S.H., Damm, M.: OPC Unified Architecture. Springer Science & Business Media, Heidelberg (2009)CrossRefGoogle Scholar
  17. 17.
    Kuts, V., Tähemaa, T., Otto, T., Sarkans, M., Lend, H.: Robot manipulator usage for measurement in production areas. J. Mach. Eng. 16(1), 57–67 (2016)Google Scholar
  18. 18.
    ROS documentation. Accessed 7 Mar 2017
  19. 19.
    ISO/TS 15066:2016 Robots and robotic devices – Collaborative robotsGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Vladimir Kuts
    • 1
    Email author
  • Gianfranco E. Modoni
    • 2
  • Walter Terkaj
    • 3
  • Toivo Tähemaa
    • 1
  • Marco Sacco
    • 3
  • Tauno Otto
    • 1
  1. 1.Department of Mechanical and Industrial EngineeringTallinn University of TechnologyTallinnEstonia
  2. 2.Institute of Industrial Technologies and AutomationNational Research CouncilBariItaly
  3. 3.Institute of Industrial Technologies and AutomationNational Research CouncilMilanItaly

Personalised recommendations