Mahmood Reza Azizi
University of Birmingham, University of Tabriz, Bu-Ali Sina University
Papers
5
Total Citations
163
H-Index
5
About
Mahmood Reza Azizi is a leading researcher in the field of mobile robotics, with a primary focus on motion planning, dynamic control, and trajectory optimization for nonholonomic and omnidirectional systems. His major contributions center on developing advanced control strategies—including nonlinear model predictive control and robust sliding mode controllers—to enable precise point stabilization and trajectory tracking in complex, dynamic environments. His most cited work, "Motion Planning and Control of an Omnidirectional Mobile Robot in Dynamic Environments" (2021, 66 citations), addresses the critical challenge of safe human-robot collaboration by designing controllers for four-Mecanum-wheeled robots. Azizi has also made significant strides in spherical robotics, modeling inner-mechanism dynamics and trajectory planning (34 citations), and has pioneered smooth trajectory optimization algorithms for isotropic translational parallel manipulators (17 citations). His research spans from foundational dynamic modeling to real-time control, demonstrating broad impact across autonomous systems. With over 163 total citations across his top papers, Azizi’s work is essential reading for students and researchers interested in mobile robot autonomy, nonlinear control, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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