Mansour Rafeeyan

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About

Mansour Rafeeyan is a distinguished researcher in robotics and control systems, with a primary focus on the modeling, simulation, and experimental control of parallel manipulators. His work centers on advancing the precision and efficiency of 3-RPR parallel robots—a class of closed-chain mechanisms known for their high stiffness and accuracy. Rafeeyan’s major contributions include the development of an optimal fuzzy controller integrated with fast on/off solenoid valves using pulse-width modulation (PWM) for real-time trajectory tracking, a study that has garnered 50 citations and demonstrated significant improvements in control performance. He has also pioneered the application of the Cuckoo Optimization Algorithm to optimize sliding mode control for path planning in obstacle-rich environments, achieving robust trajectory control with 11 citations. His research bridges theoretical optimization and practical implementation, offering novel solutions for industrial automation and robotic manipulation. Rafeeyan’s work is highly regarded for its experimental validation, making his findings directly applicable to real-world robotic systems. With a strong citation record reflecting his influence, he continues to shape the field of parallel robotics and intelligent control.