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About

Abdelhafid Ait Elmahjoub is a robotics researcher focused on the control and energy optimization of autonomous and mobile robotic systems. His work centers on developing efficient trajectory tracking and path-following strategies for wheeled mobile robots, with a strong emphasis on minimizing energy consumption. He has made key contributions by integrating backstepping control techniques for optimal trajectory tracking, and by conducting comparative studies of PID, Pure-Pursuit, and Stanley methods for autonomous vehicle navigation in simulated environments like CARLA. Ait Elmahjoub is also recognized for pioneering physical modeling approaches using Simscape and Simulink to estimate and analyze the energy performance of differential drive robots, often employing fuzzy logic controllers to improve efficiency. His most-cited paper, “Optimal trajectory tracking control for a wheeled mobile robot using backstepping technique” (2022), has garnered 4 citations, reflecting growing interest in his work. By bridging control theory with practical energy modeling, Ait Elmahjoub’s research offers valuable insights for advancing sustainable and autonomous robotics.