Development of an Autonomous Differential Mobile Robot for Disinfection with a Hybrid Disinfection System

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

After the pandemic generated by the COVID-19 virus, there was a constant need to disinfect different spaces where people pass through in order to reduce the probability of contagion of various pathogens. In addition, it became necessary to create autonomous robots capable of disinfecting to prevent cleaning personnel from coming into contact with viruses or bacteria. During the last few years, mostly stationary systems have been used for the disinfection of spaces, such as UV-C radiation lamps, ozone and disinfectant chemicals. For these needs, an autonomous mobile robot equipped with a hybrid disinfection system consisting of a UV-C radiation disinfection module and an aerosol disinfection module was developed. The robot has the ability to detect the presence of people and electronic equipment to activate or deactivate the disinfection systems to ensure the disinfection of all areas while also avoiding the exposure of people to UV-C rays and electronic equipment to liquid substances. To assess the effectiveness of this system, tests were carried out on cultures of molds, yeasts and bacteria on the surface and in the environment of a corridor with a large influx of people, resulting in a reduction of microorganisms by 86% on average in the environment, and 96% on average for the surfaces.

Original languageEnglish
Title of host publication2023 20th International Conference on Ubiquitous Robots, UR 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages741-746
Number of pages6
ISBN (Electronic)9798350335170
DOIs
StatePublished - 2023
Event20th International Conference on Ubiquitous Robots, UR 2023 - Honolulu, United States
Duration: 25 Jun 202328 Jun 2023

Publication series

Name2023 20th International Conference on Ubiquitous Robots, UR 2023

Conference

Conference20th International Conference on Ubiquitous Robots, UR 2023
Country/TerritoryUnited States
CityHonolulu
Period25/06/2328/06/23

Bibliographical note

Funding Information:
*This work was supported by Universidad Politécnica Salesiana 1Luis Calle is a member of the Research Group on Simulation, Optimization and Decision Making (GID-STD), Universidad Politécnica Salesiana sede Cuenca. lcallea@ups.edu.ec 2Jordi Castel is a member of the Research Group on Simulation, Optimization and Decision Making (GID-STD), Universidad Politécnica Salesiana sede Cuenca. jcastel@ups.edu.ec 3Marco Amaya is a member of the Research Group on Simulation, Optimization and Decision Making (GID-STD), Universidad Politécnica Salesiana sede Cuenca. mamaya@ups.edu.ec

Publisher Copyright:
© 2023 IEEE.

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