A Custom Robotic Vehicle Prototype for Disinfecting Workplaces

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 de‐ sign and implementation of a robotic vehicle capable of autonomously disinfecting high‐risk areas in diverse work environments based on human activity levels. The sys‐ tem 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.

Authors

Institutions

Publication Details

Journal
Journal of Automation Mobile Robotics & Intelligent Systems
Published
2025-09-09
DOI
https://doi.org/10.14313/jamris-2025-020
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Custom Robotic Vehicle Prototype for Disinfecting Workplaces

Xenofon Karamanos, V. Sidiropoulos, Athanasios Sidiropoulos, Evangelos Syrmos et al.
Journal of Automation Mobile Robotics & Intelligent Systems
IoT-based Smart Home Systems
article

A Custom Robotic Vehicle Prototype for Disinfecting Workplaces

Xenofon Karamanos, V. Sidiropoulos, Athanasios Sidiropoulos, Evangelos Syrmos, Dimitrios Vlachos, Dimitrios Bechtsis, Georgios Karamitsos
article en

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 de‐ sign and implementation of a robotic vehicle capable of autonomously disinfecting high‐risk areas in diverse work environments based on human activity levels. The sys‐ tem 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.

Journal of Automation Mobile Robotics & Intelligent Systems
International Hellenic University (GR), Aristotle University of Thessaloniki (GR)
Openalex Percentile: Top 76%
IoT-based Smart Home Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Custom Robotic Vehicle Prototype for Disinfecting Workplaces — Xenofon Karamanos, V. Sidiropoulos, et al. · Journal of Automation Mobile Robotics & Intelligent Systems (2025) | TGRS Research Map | TGRS