Ivan Sekaj

Slovak University of Technology in Bratislava

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About

Ivan Sekaj is a leading researcher in evolutionary robotics and intelligent control systems, with a particular focus on applying genetic algorithms to robotic motion and artistic expression. His most influential work, "Optimization of Robotic Arm Trajectory Using Genetic Algorithm" (2014), has garnered 46 citations and established foundational methods for efficient robotic path planning. Sekaj's innovative approach extends to the intersection of art and technology, as demonstrated in his highly-cited 2021 paper on "Fast robotic pencil drawing based on image evolution by means of genetic algorithm" (23 citations), which explores how robots can replicate human artistic expression through evolutionary computation. His research on "Neuro-Evolution of Mobile Robot Controller" (2019) advances autonomous navigation by combining neural networks with evolutionary algorithms for obstacle avoidance and goal-seeking behavior. Sekaj's work is characterized by its practical applications in robotics, bridging the gap between theoretical optimization methods and real-world implementation. His contributions have significantly impacted the fields of evolutionary robotics, autonomous navigation, and robotic art, making him a notable figure in computational intelligence and control systems engineering.