Majid Taheri Andani

Papers

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About

Majid Taheri Andani is a control systems researcher whose work centers on advanced robotics control, with particular expertise in spherical robot dynamics, sliding mode control, and adaptive control strategies. His research addresses one of the most challenging problems in modern robotics: designing robust controllers for systems with complex, nonlinear, and underactuated dynamics. Andani's most notable contributions focus on spherical robots, which present unique control difficulties due to their coupled kinematics, non-holonomic constraints, and underactuated behavior. His 2018 paper on observer-based sliding mode control for spherical robot path tracking, garnering 23 citations, introduced sophisticated state estimation techniques to overcome these inherent complexities. Complementing this work, his fuzzy-based sliding mode control study demonstrated how intelligent hybrid control strategies outperform conventional linear approaches for trajectory tracking in such systems. Beyond spherical robotics, Andani has made meaningful contributions to adaptive control theory. His model reference adaptive control framework for robot tracking, which accumulates 13 citations, elegantly addresses scenarios involving both known and unknown system parameters under torque disturbances. Collectively, his research provides the robotics community with practical, mathematically rigorous tools for tackling real-world control challenges in increasingly complex autonomous systems.