Irfan Marzuqi

Papers

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About

Irfan Marzuqi is a robotics researcher whose work centers on intelligent control systems for autonomous mobile robots, with a particular emphasis on fuzzy logic applications in dynamic environments. His most cited paper, "Obstacle Avoidance using Fuzzy Logic Controller on Wheeled Soccer Robot" (2019), has garnered 11 citations and demonstrates a practical approach to real-time collision avoidance in competitive robotic soccer. In this study, Marzuqi equipped a wheeled robot with an omnidirectional camera for vision, a mini-PC for image processing, and a microcontroller for input/output control, integrating a fuzzy logic controller to navigate around other robots on the field. This work contributes to the broader field of autonomous navigation, showcasing how soft computing techniques can enhance decision-making in unpredictable settings. Marzuqi's research is particularly relevant for students and engineers interested in robotics, control systems, and artificial intelligence, as it bridges theoretical fuzzy logic with tangible robotic applications. His achievements highlight the growing importance of adaptive, sensor-driven control in multi-agent robotic systems, offering a foundation for further exploration in obstacle avoidance and cooperative robotics.