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About

Artan Dermaku is a robotics researcher whose work bridges artificial intelligence, control systems, and humanoid locomotion. His primary research areas include autonomous navigation, bipedal robotics, and intelligent path planning algorithms. Dermaku’s most influential contribution is the development of hybrid AI approaches for robot path finding, particularly his work on integrating artificial neural fuzzy logic with genetic algorithms to enable mobile robots to detect and avoid both static and dynamic obstacles without pre-mapping their environment—a significant advancement for real-world autonomous systems. His paper “Artificial Neural Fuzzy Logic Algorithm for Robot Path Finding” (2015) has garnered 18 citations, while his follow-up work on genetic and fuzzy logic algorithms (2016) has received 17 citations. Dermaku has also made notable contributions to humanoid robotics, including kinematic and dynamic modelling of biped robots and trajectory planning for a 10-DOF biped system, with his 2013 paper on biped kinematics accumulating 14 citations. His more recent work explores Fast Fourier Transform-based sensor signal processing for robotic control, demonstrating his continued innovation in merging mathematical techniques with practical robotic applications.