Bojan Pavković
Papers
2
Total Citations
27
H-Index
2
About
Bojan Pavković is a researcher at the forefront of autonomous robotics and cloud-based intelligent systems. His work primarily focuses on multi-robot coordination, path planning in dynamic environments, and autonomous exploration. Pavković’s major contributions include developing a cloud-based framework that integrates fuzzy logic and online learning to enable multiple robots to navigate complex, crowded spaces like modern megastores—a breakthrough for logistics and warehouse automation. His most cited paper (2021, 18 citations) demonstrates how offloading computationally intensive tasks to the cloud can enhance robot efficiency and scalability. In another influential study (2021, 9 citations), he advanced autonomous exploration by combining multi-criteria decision-making with the D* Lite algorithm, allowing robots to intelligently map unknown environments. Pavković’s work is notable for bridging theoretical decision-making models with practical, real-world applications, offering scalable solutions for industries requiring repetitive task execution. His research has significant implications for smart manufacturing, service robotics, and autonomous navigation, earning him recognition as a key contributor to the next generation of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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