Hamid Reza Koofigar
Papers
8
Total Citations
165
H-Index
7
About
Hamid Reza Koofigar is a control systems researcher whose work centers on adaptive control, robotics, and intelligent control design for complex dynamical systems. His research has made significant contributions to the fields of underactuated robotic systems, teleoperation, and fault detection, establishing him as a notable voice in modern control engineering. Koofigar's most influential work, "Adaptive fuzzy backstepping controller design for uncertain underactuated robotic systems" (2014, 46 citations), demonstrates his expertise in handling system uncertainty through intelligent control strategies. His investigations into bilateral teleoperation with time delay and force-position control (2020, 30 citations) reflect a forward-looking interest in human-robot interaction and remote manipulation technologies. His model predictive control framework for self-balancing robots (2013, 23 citations) further showcases his ability to tackle multivariable, underactuated dynamics in practical platforms. Beyond theoretical contributions, Koofigar has addressed real-world challenges including fault detection in robot manipulators, friction compensation without velocity measurement, and sensor-free impedance estimation for rehabilitation robotics — work with clear clinical and industrial relevance. Collectively accumulating over 165 citations, his portfolio reflects a sustained commitment to bridging rigorous control theory with meaningful engineering applications.
Research Focus
Key Achievements
Top Papers
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- 3Model predictive control for a two wheeled self balancing robot23 citations · 2013
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