J. Taheri‐Kalani

Sahand University of Technology, Shahid Beheshti University

Papers

Total Citations

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About

J. Taheri‐Kalani is a leading researcher in the field of mobile robotics, with a primary focus on advanced control systems for wheeled mobile robots. Their work addresses critical challenges in trajectory tracking, particularly under conditions of kinematic and dynamic uncertainty. In their highly cited 2013 paper (22 citations), Taheri‐Kalani introduced a novel adaptive trajectory tracking control method that models uncertainties as lumped disturbances, employing a disturbance observer to enhance robustness. This contribution has been foundational for improving robot performance in real-world, unpredictable environments. Building on this, their 2016 work (7 citations) pioneered a sensorless control scheme, using a Nonlinear Observer to eliminate the need for velocity sensors—significantly reducing robot cost and complexity. This adaptive model reference technique represents a major step toward more affordable and accessible robotic systems. Taheri‐Kalani’s research is characterized by its practical impact, offering elegant solutions that bridge theoretical control theory with tangible robotic applications, making them a key figure in the advancement of autonomous mobile robot navigation.