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Abstract

Surfaces contaminated with SARS-CoV-2 or other such viruses pose a grave threat to the safety of individuals. Mobile robots mounted with ultraviolet (UV) light attachments are ideal for disinfecting hospital rooms, shopping centers and other public spaces. This paper mainly discusses the steps involved in making an autonomous UV Disinfectant robot and its functionalities. The UV Disinfectant robot initially maps the environment with the help of a user and subsequently localizes itself in the map and is able to autonomously navigate to a selected location in the map. The user must select waypoints in the generated map determining the locations where disinfection is required. After the waypoint generation of a map, the robot can autonomously navigate through the map disinfecting given locations. The robot is equipped with 6 UVC lights around a central column, which is fixed to a mobile robotic platform that has required sensors. The robot can be used as a part of the regular cleaning crew and it aids in reducing the spread of infectious diseases, viruses, bacteria, and other types of harmful microorganisms in the environment. ROS framework is used to program the robot.

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References

  1. Solution Design. http://solutionsdesignedforhealthcare.com/solutions/products/uv-disinfection/physics-101-inverse-square-law. Accesses 12 Dec 2020

  2. Malayeri, A., Mohseni, M., Cairns, B., Bolton, J.: Fluence (UV dose) required to achieve incremental log inactivation of bacteria, Protozoa. Viruses. Algae. IUVA News. 18, 4–6 (2016)

    Google Scholar 

  3. Kowalski, W., Walsh, T., Petraitis, V.: 2020 COVID-19 Coronavirus Ultraviolet Susceptibility (2020)

    Google Scholar 

  4. Harris, T.R., Pagan, J.G., Batoni, P.: Optical and fluidic co-design of a UV-LED water disinfection chamber. ECS Trans., vol. 45(17) (2012). 221st ECS Meeting, May 6 – May 10. Seattle, WA

    Google Scholar 

  5. Stibich, M., et al.: Evaluation of a pulsed-xenon ultraviolet room disinfection device for impact on hospital operations and microbial reduction. Infect. Control. Hosp. Epidemiol. 32, 286–288 (2011). https://doi.org/10.1086/658329

    Article  Google Scholar 

  6. Song, L., Li, W., Li, J.H.L., Li, T., Gu, D., Tang, H.: Development of a pulsed xenon ultraviolet disinfection device for real-time air disinfection in ambulances. Hind. J. Healthc. Eng. 1–5 (2020). https://doi.org/10.1155/2020/6053065

  7. Anderson, D.J., et al.: The benefits of enhanced terminal room (BETR) disinfection study: a prospective, cluster randomized, multicenter, crossover study to evaluate the impact of enhanced terminal room disinfection on acquisition and infection caused by multidrug-resistant organisms. Lancet. Infect. Dis. 389, 805–814 (2017). https://doi.org/10.1016/S0140-6736(16)31588-4

    Article  Google Scholar 

  8. Haddad, L.E., et al.: Evaluation of a pulsed xenon ultraviolet disinfection system to decrease bacterial contamination in operating rooms. BMC Infect. Dis. 17, 672–677 (2017). https://doi.org/10.1186/s12879-017-2792-z

    Article  Google Scholar 

  9. Bentancor, M., Vidal, S.: Programmable and low-cost ultraviolet room disinfection device. HardwareX. 4, 1–13 (2018). https://doi.org/10.1016/j.ohx.2018.e00046

    Article  Google Scholar 

  10. D’Andrea, R.: Guest editorial: a revolution in the warehouse: a retrospective on Kiva systems and the grand challenges ahead. IEEE Trans. Autom. Sci. Eng. 9, 638–639 (2012)

    Article  Google Scholar 

  11. Marder-Eppstein, E., Berger, E., Foote, T., Gerkey, B., Konolige, K.: The office Marathon. In: ICRA (2010)

    Google Scholar 

  12. Hornung, A., Phillips, M., Jones, E.G., Bennewitz, M., Likhachev, M., Chitta, S.: Navigation in three-dimensional cluttered environments for mobile manipulation. In: ICRA (2012)

    Google Scholar 

  13. Reiser, U., Jacobs, T., Arbeiter, G., Parlitz, C., Dautenhahn, K.: Care-O-bot® 3 – vision of a robot butler. In: Trappl, R. (ed.) Your Virtual Butler, pp. 97–116. Springer Berlin Heidelberg, Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-642-37346-6_9

    Chapter  Google Scholar 

  14. Ionmc webpage. http://downloads.ionmc.com/docs/roboclaw_user_manual.pdf. Accessed 10 Dec 2020

  15. Conley, K., et al.: Ros: an open-source robot operating system. In: ICRA Workshop on Open Source Software (2009)

    Google Scholar 

  16. Goncalves, J., Lima, J., Costa, P.: Real-time localization of an omnidi-rectional mobile robot resorting to odometry and global vision data fusion: an ekfapproach, 1275 – 1280 (2008)

    Google Scholar 

  17. Liu, S., Li, S., Pang, L., Hu, J., Chen, H., Zhang, X.: Autonomous exploration and map construction of a mobile robot based onthe tghm algorithm. Sensors 20, 490 (2020)

    Article  Google Scholar 

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Acknowledgements

The authors would like to thank MU Vice-chancellor Medury Yajulu, Professor Arya K Bhattacharya and Professor Bishnu Pal for providing support and key inputs during this work. We would Also like to thanks Prof. S.K.Saha from IIT Delhi who introduces us to mobile platform Robomuse 5 from where we tool the inspiration to develop this UVC robot.

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Correspondence to Deep Seth .

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Reddy Gade, V., Seth, D., Agrawal, M.K., Tamma, B. (2021). Development of Autonomous UVC Disinfectant Robot. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service. HCII 2021. Lecture Notes in Computer Science(), vol 12778. Springer, Cham. https://doi.org/10.1007/978-3-030-77820-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-77820-0_11

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