Akpinar, Cihat TalatKosar, OzcanDurdu, Akif2025-06-112025-06-112025979833151580597983315157992767-9454https://doi.org/10.1109/INFOTEH64129.2025.10959180This study aims to develop a virtual reality (VR) application to improve the fault detection and troubleshooting processes of autonomous industrial mobile robots. The complex systems and operating environments of autonomous robots make fault detection challenging for users, requiring effective and user-friendly solutions to overcome these difficulties. In this context, the Robot Operating System (ROS) was utilized to detect errors in robots and record these errors in a database. Thanks to the modular structure and robust communication infrastructure offered by ROS, faults in the robots were monitored and analyzed through ROS topics. This study demonstrates the effective use of VR technology in the maintenance and repair processes of autonomous industrial mobile robots. By integrating ROS-based data collection and fault detection into a VR environment for user training, robot operators are enabled to troubleshoot faults more quickly and effectively. In this way, it is aimed to achieve time and cost savings in industrial processes.eninfo:eu-repo/semantics/closedAccessAutonomous Industrial Mobile RobotsComponentRobot Operating System (ROS)Virtual Reality (VR)Conference Object10.1109/INFOTEH64129.2025.109591802-s2.0-105004342115