Mohammad Reza Gharib
University of Torbat Heydarieh, Ferdowsi University of Mashhad
Papers
6
Total Citations
82
H-Index
4
About
Mohammad Reza Gharib is a control systems and robotics researcher whose work centers on robust control theory, robot manipulator design, and precision motion control. He is best known for his sustained contributions to Quantitative Feedback Theory (QFT), a powerful framework for designing controllers that maintain stability and performance in the presence of system uncertainties and external disturbances. His landmark 2020 paper comparing robust optimal QFT controllers with alternative multivariable control strategies has garnered 32 citations, establishing him as a credible voice in the field of robust multivariable control. His earlier 2009 work on QFT-based control of SCARA robots — cited 18 times — demonstrated how theoretical control frameworks can be practically applied to industrial robotic systems with uncertain dynamics. Gharib has further extended this expertise into fuzzy-hybrid controller design for uncertain multivariable systems and precision path-tracking control for electromechanical micro-positioners, reflecting a keen interest in surgical and biomedical robotics applications. More recently, he has explored cable-driven agricultural robots, broadening his impact into field robotics. Across his career, Gharib's research consistently bridges rigorous control theory with real-world engineering challenges, making his work particularly valuable for students and practitioners in robotics and mechatronics.
Research Focus
Key Achievements
Top Papers
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- 2Modelling and control of a SCARA robot using quantitative feedback theory18 citations · 2009
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