Reza Gholipour
University of Shahrood, Babol Noshirvani University of Technology
Papers
5
Total Citations
87
H-Index
5
About
Reza Gholipour is a control systems researcher specializing in advanced robotics, adaptive control theory, and the application of mathematical orthogonal functions to robot manipulator control. His work sits at the intersection of theoretical mathematics and practical robotics engineering, with a particular focus on developing intelligent controllers that can operate effectively without complete knowledge of system dynamics or velocity measurements. Gholipour's most significant contributions involve leveraging orthogonal function expansions — including Fourier series, Chebyshev polynomials, and Legendre polynomials — to design elegant, model-free observers and adaptive controllers for robot manipulators. His 2018 paper on Fourier series-based task-space control, which has garnered 32 citations, demonstrated that high-performance adaptive control could be achieved without relying on task-space velocity measurements, a practically valuable advancement. His subsequent work extended these ideas to robots driven by permanent magnet synchronous motors, addressing real-world actuator dynamics often overlooked in theoretical studies. With nearly 90 cumulative citations across his key publications, Gholipour has made a meaningful impact on the field of robust and adaptive robotics control. His research provides both theoretically rigorous and practically implementable solutions for engineers tackling the persistent challenges of uncertainty, disturbances, and incomplete state information in robotic systems.
Research Focus
Key Achievements
Top Papers
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