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About

AmirReza Haqshenas M. is a control systems researcher whose work focuses on the advanced trajectory tracking of nonholonomic wheeled mobile robots (WMRs). His primary research areas include adaptive backstepping control, Taylor series-based approximation, and robust kinematic/dynamic control for electrically-driven robotic systems. Haqshenas’s most cited paper, “A state augmented adaptive backstepping control of wheeled mobile robots” (2020, 26 citations), introduces an integrated controller that accounts for motor dynamics to minimize posture error. His subsequent work, “Adaptive control of electrically‐driven nonholonomic wheeled mobile robots: Taylor series‐based approach with guaranteed asymptotic stability” (2020, 14 citations), proposes a two-loop robust controller using adaptive Taylor series approximators to ensure stable tracking. More recently, his 2022 paper on finite-time adaptive Taylor series tracking control (8 citations) extends these ideas to achieve faster convergence. Collectively, his contributions offer practical, mathematically rigorous solutions for autonomous mobile robotics, with a strong emphasis on asymptotic stability and real-time adaptability. Haqshenas’s work is particularly valuable for researchers developing reliable control architectures for service robots, autonomous vehicles, and industrial automation.