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About

Ivica Draganjac’s research lies at the intersection of autonomous systems, multi-agent coordination, and remote robotics, with a strong emphasis on real-world industrial applications. His most impactful work, “Highly-scalable traffic management of autonomous industrial transportation systems” (46 citations), presents a pioneering framework for coordinating large fleets of autonomous vehicles in dynamic factory environments, directly addressing the scalability challenges that limit the adoption of Industry 4.0 technologies. Earlier, Draganjac developed a low-cost vision-based localization system using fiducial markers (19 citations), enabling fast, reliable positioning for mobile robots—a foundational contribution to multi-agent visual tracking and localization. His applied engineering expertise is further demonstrated in a series of papers on remote control systems for nuclear reactor vessel weld inspection manipulators (6 and 3 citations), where he designed client-server TCP/IP architectures that allow operators to perform hazardous inspection procedures safely over a network. Additionally, his work on an Internet-based SCARA robot laboratory (6 citations) provides students with hands-on, remote access to industrial robotics, bridging the gap between theoretical control and practical experimentation. Through these contributions, Draganjac has advanced both the theoretical foundations and practical deployment of autonomous and teleoperated robotic systems.