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Abstract

The SARS-CoV-2 pandemic has heightened the need for advanced and automated disinfection methods to ensure workplace safety and hygiene. This study presents the design and implementation of a robotic vehicle capable of autonomously disinfecting high-risk areas in diverse work environments based on human activity levels. The system integrates a machine vision module using YOLOv5 for real-time human detection, a Decision Support System to assess contamination risks, an autonomous navigation module for path planning, and a user-friendly interface for operator control. By leveraging real-time data, the robot precisely applies disinfectant to identified high-risk zones, dynamically adjusting the spray volume based on the level of contamination. The system was validated in a real-world workplace setting, demonstrating its ability to autonomously perform targeted disinfection, offering a scalable solution to support workplace hygiene.

DOI: https://doi.org/10.14313/jamris-2025-020 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Language: English
Page range: 1 - 12
Submitted on: Mar 12, 2025
Accepted on: Apr 23, 2025
Published on: Sep 10, 2025
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Georgios Karamitsos, Vasileios Sidiropoulos, Evangelos Syrmos, Athanasios Sidiropoulos, Xenofon Karamanos, Dimitrios Vlachos, Dimitrios Bechtsis, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.