Mehdi Mirzaei
Papers
6
Total Citations
39
H-Index
4
About
Mehdi Mirzaei is a robotics researcher whose work centers on the control and dynamic modeling of complex robotic systems, with a particular focus on bipedal locomotion, wheeled mobile robots, and flexible-joint manipulators. His research addresses fundamental challenges in nonlinear control, constraint satisfaction, and uncertainty estimation, developing practical solutions for real-world robotic applications. Mirzaei’s most cited work, "Simultaneous design of optimal gait pattern and controller for a bipedal robot" (2009, 22 citations), demonstrates his early contributions to the integrated optimization of walking patterns and control systems for humanoid robots. He has since advanced the field through innovative approaches to constrained predictive control for wheeled mobile robots, as seen in his 2021 study (5 citations) that developed a trajectory-tracking controller with input limitations implemented in the V-Rep simulator. His 2025 paper on information fusion-based estimation of model uncertainties and disturbances (4 citations) represents his latest contribution to autonomous navigation. Mirzaei has also made notable contributions to sliding mode control for fast bipedal walking (2011, 4 citations) and practical implementation of nonlinear controllers for flexible-joint manipulators (2022, 3 citations), consistently bridging theoretical control design with experimental validation.
Research Focus
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