Muhammad Zia Ur Rahman
University of Engineering and Technology Lahore, University of Faisalabad
Papers
8
Total Citations
76
H-Index
5
About
Muhammad Zia Ur Rahman is a robotics and control systems researcher whose work spans intelligent actuation, autonomous navigation, and underwater manipulation. His primary research areas include fractional-order control of DC servo motors, cable-driven parallel manipulators for deep-sea operations, and vision-based mobile robotics for logistics. Rahman’s most cited work introduces a fractional transformation-based intelligent H-infinity controller for DC servo motors (21 citations), addressing nonlinearities and parameter variations in electromechanical systems. He has also contributed to military robotics with a radio-controlled intelligent UGV spy robot (14 citations) and to retail automation through a vision-based mobile manipulator for supermarket product handling (10 citations). His recent studies on actuator selection for assistive robotic exoskeletons (9 citations) and optimized design of cable-based parallel manipulators for subsea operations (8 citations) demonstrate his commitment to practical, failure-tolerant robotic systems. Rahman’s work on quaternionic linear matrix equations (5 citations) and B-spline feature extraction from LIDAR data (5 citations) further showcases his versatility in computational mathematics and mapping. With over 75 total citations and publications spanning 2022–2025, Rahman is establishing himself as a rising contributor to intelligent robotics and control engineering.
Research Focus
Key Achievements
Top Papers
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