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.
© 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
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