Mohammad Ismail Rahman

Papers

Total Citations

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About

Mohammad Ismail Rahman is a researcher specializing in autonomous robotics, fuzzy logic systems, and embedded control architectures. His most cited work, “Implementation of Fuzzy Logic in FPGA for Maze Tracking of a Mobile Robot Based on Ultrasonic Distance Measurement” (2010), demonstrates a pioneering integration of fuzzy inference with reconfigurable hardware for real-time navigation. In this study, Rahman equipped a mobile robot with ultrasonic transceivers to measure wall distances, then processed the sensor data through a fuzzy logic controller implemented on an FPGA. This approach enabled the robot to autonomously track paths within a maze without requiring precise mathematical models, showcasing a practical solution to uncertainty in dynamic environments. While his citation count remains modest at 3, the work represents an early, innovative fusion of soft computing and hardware acceleration—a foundation that has influenced subsequent research in intelligent robotic navigation. Rahman’s contributions highlight the potential of fuzzy logic in embedded systems, offering a scalable framework for autonomous decision-making. His research continues to inspire students and engineers exploring low-cost, real-time control solutions for mobile robotics.