S. Julius Fusic
Papers
8
Total Citations
127
H-Index
6
About
S. Julius Fusic is a researcher at the forefront of autonomous mobile robotics and intelligent navigation systems. His work primarily focuses on path planning algorithms, perception-based navigation, and the integration of deep learning for autonomous vehicle control in complex environments. Fusic’s most influential contribution is his 2018 paper on robot path planning using a modified Dijkstra algorithm, which has garnered 48 citations and established a foundation for efficient trajectory optimization in static and dynamic settings. He has further advanced the field with research on semantic segmentation for scene terrain classification (22 citations), enabling safer autonomous navigation in Industry 5.0 cyber-physical systems. His comprehensive 2022 review of perception-based navigation systems (15 citations) has become a key reference for researchers exploring sensor fusion and SLAM technologies. Notably, Fusic has also applied his expertise to agricultural robotics, developing a mobile robot for leaf disease detection in *Momordica charantia* (bitter gourd), demonstrating the versatility of his work. With a growing citation impact and a portfolio spanning Lidar-based path planning, GPS-GLONASS integration, and comparative algorithm analysis, Fusic continues to shape the future of intelligent, autonomous mobile systems.
Research Focus
Key Achievements
Top Papers
- 1Path planning of robot using modified dijkstra Algorithm48 citations · 2018
- 2
- 3A Review of Perception-Based Navigation System for Autonomous Mobile Robots15 citations · 2022
- 4
- 5Modeling and Analysis of GPS–GLONASS Navigation for Car Like Mobile Robot14 citations · 2020
- 6
- 7Path planning for car like mobile robot using robot operating system6 citations · 2018
- 8