Mohammad Reza Kardan

Papers

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About

Mohammad Reza Kardan is a leading researcher in intelligent robotics and augmented reality (AR) systems, with a focus on autonomous navigation and control optimization. His most cited work, "Mobile robot navigation based on Fuzzy Cognitive Map optimized with Grey Wolf Optimization Algorithm used in Augmented Reality" (2017, 15 citations), introduces a novel hybrid control technique that integrates Fuzzy Cognitive Maps (FCM) with the Grey Wolf Optimization algorithm for mobile robot path planning. By leveraging AR glyphs and overhead camera systems, Kardan’s approach enables robots to interpret visual markers and navigate complex environments with enhanced precision and adaptability. This work stands out for its fusion of soft computing and AR, offering a scalable solution for real-world robotic guidance. Kardan’s contributions bridge the gap between cognitive mapping and swarm intelligence, demonstrating how biologically inspired optimization can refine decision-making in dynamic settings. His research has practical implications for industrial automation, assistive robotics, and human-robot interaction. With a growing citation footprint, Kardan continues to advance the frontier of intelligent navigation, making his work essential reading for students and researchers exploring the intersection of robotics, fuzzy systems, and augmented reality.