Skip to main content
SpringerLink
Log in

Simulation and Digital Twin of a Robotic Sanitizing Process of Environments at Risk During the Pandemic

  • Conference paper
  • First Online:
Robotics in Natural Settings (CLAWAR 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 530))

Included in the following conference series:

Abstract

The goal of this work is the design and development of intelligent semi-autonomous processes conducted by a team of mobile robots for cleaning environments whose hygiene must comply with the law, such as restaurant and community environments, healthcare facilities, laboratories and hospital departments. The cleaning team is composed by mobile robots designed for wall cleaning tasks but they can also be used for floor and ceiling cleaning tasks.

The article proposes a simulator, based on the geometric model of the environment and functional model of the robot, that allows to define cleaning procedures adapted to needs and regulations with a good margin of flexibility.

This simulator is configured as a digital twin of the local cleaning system and can be used for cleaning procedure improvements, for the punctual definition of maintenance operations and for the review of the process in case of new regulations and or unexpected occurrences.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cepolina, F., Michelini, R.C., Molfino, R.M., Razzoli, R.P.: Gecko-Collie-home cleaning automation of floors walls and cupboards. In: Third International Conference on Climbing and Walking Robots, pp. 803–811 (2000)

    Google Scholar 

  2. IFR International Federation of Robotics: WorldRobotics 2021, Frankfurt, 04 November (2021)

    Google Scholar 

  3. Kraemer, M.U., et al.: The effect of human mobility and control measures on the COVID-19 epidemic in China. Science 368(6490), 493–497 (2020)

    Article  Google Scholar 

  4. WHO Cleaning and disinfection of environmental surfaces in the context of COVID-19. World Health, Geneva (2020)

    Google Scholar 

  5. Vaussard, F., Rétornaz, P., Hamel, D., Mondada, F.: Cutting down the energy consumed by domestic robots: insights from robotic vacuum cleaners. In: Herrmann, G., et al. (eds.) TAROS 2012. LNCS (LNAI), vol. 7429, pp. 128–139. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-32527-4_12

    Chapter  Google Scholar 

  6. Cepolina, E.M., Farina, A., Holloway, C., Tyler, N.: Innovative strategies for urban car-sharing systems and a simulator to assess their performance. Transp. Plan. Technol. 38(4), 375–391 (2015)

    Article  Google Scholar 

  7. Coelho, F., Relvas, S., Barbosa-Póvoa, A.P.: Simulation-based decision support tool for in-house logistics: the basis for a digital twin. Comput. Ind. Eng. 153, 107094 (2021)

    Article  Google Scholar 

  8. Liu, W., Zhang, W., Dutta, B., Wu, Z., Goh, M.: Digital twinning for productivity improvement opportunities with robotic process automation: Case of greenfield hospital. Int. J. Mech. Eng. Robot. Res. 9(2), 258–263 (2020)

    Article  Google Scholar 

  9. Yang, Z., Zhang, X., Liu, X., Tang, J., Cao, H.: A conceptual framework of future home smart kitchen system with multiple experience modes. In: Rebelo, F. (ed.) AHFE 2021. LNNS, vol. 261, pp. 438–445. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-79760-7_52

    Chapter  Google Scholar 

  10. Cepolina, F., Zoppi, M., Zurlo, G., Molfino, R.: A robotic cleaning agency. In: Proceedings of IAS 2004–8th Conference on Intelligent Autonomous Systems, pp. 10–13 (2008)

    Google Scholar 

  11. Cepolina, E.M.: The packages clustering optimisation in the logistics of the last mile freight distribution. Int. J. Simul. Process Model. 11(6), 468–478 (2016)

    Article  Google Scholar 

  12. Joon, A., Kowalczyk, W.: Design of autonomous mobile robot for cleaning in the environment with obstacles. Appl. Sci. 11(17), 8076 (2021)

    Article  Google Scholar 

  13. Cepolina, E.M., Tyler, N.: Microscopic simulation of pedestrians in accessibility evaluation. Transp. Plan. Technol. 27(3), 145–180 (2004)

    Article  Google Scholar 

  14. Michelini, R.C., Cepolina, F.: Gecko, the walls cleaner. Ind. Robot. Int. J. 29, 538–543 (2002)

    Article  Google Scholar 

  15. Gradetsky, V.G., Knyazkov, M.M., Semenov, E.A., Sukhanov, A.N., Chashchukhin, V.G.: Vacuum generation for wall climbing robot adaptive contact to surface. Robots Hum. Life 80 (2020)

    Google Scholar 

  16. Asafa, T.B., Afonja, T.M., Olaniyan, E.A., Alade, H.O.: Development of a vacuum cleaner robot. Alex. Eng. J. 57(4), 2911–2920 (2018)

    Article  Google Scholar 

  17. Tao, F., et al.: Digital twin-driven product design framework. Int. J. Prod. Res. 57(12), 3935–3953 (2019)

    Article  Google Scholar 

  18. Cepolina, E.M., Cepolina, F.: Twin tools for intelligent manufacturing: a case study. In: Proceedings of the 23rd International Conference on Harbor, Maritime and Multimodal Logistic Modeling and Simulation (2021). https://doi.org/10.46354/i3m.2021.emss.059

  19. Aivaliotis, P., et al.: Methodology for enabling digital twin using advanced physics-based modelling in predictive maintenance. Procedia Cirp 81, 417–422 (2019)

    Article  Google Scholar 

  20. Agostinelli, S., et al.: Cyber-physical systems improving building energy management: digital twin and artificial intelligence. Energies 14(8), 2338 (2021)

    Article  Google Scholar 

  21. Liu, J., et al.: Dynamic design method of digital twin process model driven by knowledge-evolution machining features. Int. J. Prod. Res. 60, 2312–2330 (2021)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Genoa, Genoa, Italy

    Francesco Cepolina & Elvezia Maria Cepolina

Authors
  1. Francesco Cepolina
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Elvezia Maria Cepolina
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Elvezia Maria Cepolina .

Editor information

Editors and Affiliations

  1. Faculty of Sciences and Technology, University of the Azores, Ponta Delgada, Portugal

    José M. Cascalho

  2. School of Engineering, London South Bank University, London, UK

    Mohammad Osman Tokhi

  3. School of Engineering, Polytechnic Institute of Porto, Porto, Portugal

    Manuel F. Silva

  4. Faculty of Sciences and Technology, University of the Azores, Ponta Delgada, Portugal

    Armando Mendes

  5. Mechanical, Materials and Manufacturing Engineering (M3), Faculty of Engineering, University of Nottingham, Nottingham, UK

    Khaled Goher

  6. Faculty of Sciences and Technology, University of the Azores, Ponta Delgada, Portugal

    Matthias Funk

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cepolina, F., Cepolina, E.M. (2023). Simulation and Digital Twin of a Robotic Sanitizing Process of Environments at Risk During the Pandemic. In: Cascalho, J.M., Tokhi, M.O., Silva, M.F., Mendes, A., Goher, K., Funk, M. (eds) Robotics in Natural Settings. CLAWAR 2022. Lecture Notes in Networks and Systems, vol 530. Springer, Cham. https://doi.org/10.1007/978-3-031-15226-9_46

Download citation

Publish with us

Policies and ethics

Search

Navigation