Behzad Tabibian
Iran University of Science and Technology, University of Edinburgh
Papers
5
Total Citations
142
H-Index
4
About
Behzad Tabibian is a robotics and control systems researcher whose work has made notable contributions to the field of autonomous mobile robot navigation and control. His research focuses primarily on trajectory tracking control of nonholonomic wheeled mobile robots (WMRs), addressing fundamental challenges such as parametric uncertainty, modeling errors, and external disturbances that complicate real-world robot deployment. Tabibian's most influential work, "Adaptive Trajectory Tracking Control of a Differential Drive Wheeled Mobile Robot" (2010), has garnered 96 citations and introduced an adaptive nonlinear control law based on input-output methods that accounts for uncertainty in both kinematic and dynamic models as well as actuator dynamics. This contribution established a robust foundation for subsequent research in adaptive robotic control. His follow-up work on inverse dynamics controllers for uncertain nonholonomic systems (29 citations) further demonstrated his commitment to bridging theoretical control design with practical implementation challenges. Across his portfolio, Tabibian has explored diverse control strategies — including feedback linearization, passivity-based analysis, disturbance observers, and adaptive-robust PID approaches — reflecting a comprehensive understanding of modern control theory. His research on mobile manipulators navigating obstacle-filled environments with moving boundary conditions also highlights his broader interest in applied robotics, making his work valuable to both theorists and practitioners in the field.
Research Focus
Key Achievements
Top Papers
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