Mohammad Reza Arvan
Papers
2
Total Citations
16
H-Index
2
About
Mohammad Reza Arvan’s research centers on robotics, control systems, and electromechanical actuation, with a particular focus on precision modeling and robust control design for complex mechanical systems. His most cited work, “A comparative study of two inverse dynamic models of 6 degree-of-freedom rotary Stewart-Gough parallel robot” (2021, 10 citations), provides critical insights into the dynamic behavior of parallel robots, offering a systematic comparison that aids in selecting efficient modeling approaches for high-precision applications. This contribution is especially valuable for researchers working on advanced robotic manipulators used in aerospace and manufacturing. Arvan’s earlier influential paper, “Identification, uncertainty modelling, and robust controller design for an electromechanical actuator” (2013, 6 citations), addresses the growing demand for electromechanical actuators (EMAs) in aerospace and robotics, where ease of control, high efficiency, and dynamic performance are paramount. In this work, he develops a robust PID controller through experimental system identification and uncertainty modeling, demonstrating practical solutions for real-world position control challenges. Together, these studies showcase Arvan’s ability to bridge theoretical modeling with applied control design, making his work a valuable resource for students and engineers seeking to enhance the reliability and performance of robotic and actuation systems.
Research Focus
Key Achievements
Top Papers
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