Branko Markoski

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About

Branko Markoski is a researcher specializing in intelligent control systems, mobile robotics, and computational intelligence, with a particular focus on the integration of neural networks and fuzzy logic for autonomous navigation. His most recognized contribution, "Mobile robot control using self-learning neural network" (2009), introduced a pioneering navigation framework in which a self-learning neural network enables a mobile robot to autonomously generate and execute movement plans on real hardware platforms — a significant step toward practical autonomous robotics. This work has garnered 11 citations, reflecting its value to the robotics research community. Building on this foundation, his 2011 paper, "Mobile robot control using combined neural-fuzzy and neural network," advanced the field further by proposing a hybrid approach that merges self-learning neural networks with heuristic neuro-fuzzy collision-avoidance strategies, achieving more robust and adaptive navigation behavior. Accumulating an additional 6 citations, this work demonstrates Markoski's commitment to iterative and applied research. Overall, his contributions highlight a sustained effort to bridge theoretical artificial intelligence methods with real-world robotics applications, making his work particularly relevant for researchers and students exploring autonomous systems and intelligent robot control.