Agon Kokaj

Papers

Total Citations

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About

Agon Kokaj is a robotics researcher whose work bridges artificial intelligence, sensor fusion, and autonomous navigation. His most cited paper, “Genetic and Fuzzy logic algorithms for robot path finding” (2016, 17 citations), introduces a novel approach to obstacle detection and avoidance using only a single camera—without prior mapping of the environment. By combining Genetic Algorithms with fuzzy logic, Kokaj enables mobile robots to navigate static and dynamic obstacles in real time, a significant contribution to vision-based autonomous systems. In his follow-up work, “Fast Fourier Transform and a Complimentary Filter Based Control of a Robotic System” (2018, 6 citations), he applies Fast Fourier Transform (FFT) and complementary filtering to improve sensor signal evaluation, enhancing robotic control accuracy. Kokaj’s research is notable for its practical, low-cost solutions that reduce hardware dependency while maintaining robust performance. His work has direct applications in search-and-rescue robotics, industrial automation, and mobile robot navigation, making him a rising voice in intelligent robotic systems.