Michael Rojkov

University of Würzburg, Zentrum für Pathologie und Zytodiagnostik

Papers

Total Citations

H-Index

About

Michael Rojkov’s research focuses on the intersection of augmented reality (AR), cooperative robotics, and industrial maintenance, with a particular emphasis on telemaintenance and human-robot collaboration. His major contributions lie in evaluating how different mixed reality support applications—such as AR overlays and remote expert guidance—affect human factors, grounding, and performance during cooperative repair tasks. In his most-cited work (31 citations), he compared AR support methods for repairing an industrial robot, demonstrating that certain AR interfaces significantly improve task efficiency and reduce errors compared to traditional methods. Rojkov also advanced 2D tracking algorithm frameworks for mobile devices, enabling remote experts to guide local technicians through complex repairs in real time. His work has practical implications for reducing travel costs and downtime in manufacturing. While his citation counts are modest, his research is notable for its hands-on, application-driven approach, bridging the gap between theoretical AR systems and real-world industrial needs. Rojkov’s studies are valuable for students and researchers interested in human-computer interaction, collaborative robotics, and the future of remote maintenance in smart factories.