Nediljko Bugarin
Papers
1
Total Citations
8
H-Index
1
About
Dr. Nediljko Bugarin is a leading researcher in mobile robotics and autonomous navigation, with a focus on cooperative multi-agent systems. His key contributions lie at the intersection of deep learning and robotic perception, particularly in enabling Unmanned Ground Vehicles (UGVs) to navigate complex, unknown environments. His most cited work, "Deep Semantic Image Segmentation for UAV-UGV Cooperative Path Planning: A Car Park Use Case" (2020, 8 citations), addresses a critical limitation of UGVs—the restricted range of onboard sensors—by leveraging aerial imagery from Unmanned Aerial Vehicles (UAVs). Through deep semantic segmentation, Bugarin’s approach allows UGVs to perceive and plan paths across large, occluded areas, significantly enhancing their autonomy and efficiency. This work has been recognized for its practical impact in real-world applications like automated parking and logistics. Dr. Bugarin’s research continues to push boundaries in cooperative robotics, offering scalable solutions for dynamic environments. With a growing citation footprint, his contributions are shaping the future of intelligent, collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1