Stojanche Panov

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About

Stojanche Panov is a robotics researcher whose work centers on solving the NP-complete challenge of global path planning for mobile robots. His primary contribution lies in the development of novel metaheuristic algorithms that enable efficient navigation in complex, dynamic environments. Panov’s most notable achievement is the introduction of the “quad harmony search method,” a hybrid algorithm that combines quad-tree decomposition with harmony search optimization. This approach, detailed in his 2015 paper, intelligently divides the robot’s environment into free regions, allowing for faster and more robust pathfinding compared to naïve deterministic techniques. His research, spanning from 2013 to 2015, has garnered over a dozen citations, establishing a foundation for subsequent work in grid-based and dynamic path planning. By tackling a computationally intensive problem with elegant, nature-inspired solutions, Panov has contributed a practical tool for autonomous navigation, making his work a valuable reference for students and researchers seeking efficient, real-time path planning strategies in robotics.