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About

Moez Feki is a researcher specializing in intelligent control systems, mobile robotics, and nonlinear dynamics, with a focus on enhancing the autonomy and stability of robotic platforms. His major contributions lie in the development of hybrid adaptive-fuzzy controllers and fuzzy PD controllers for mobile manipulators, addressing complex challenges in navigation and trajectory tracking. Notably, his 2016 work on "Intelligent mobile manipulator navigation using hybrid adaptive-fuzzy controller" has garnered 13 citations, demonstrating its impact in advancing robust control strategies for nonholonomic systems. In his 2015 paper on tracking control with a fuzzy PD controller, Feki proposed a dynamic model to mitigate external forces on the end-effector, a key achievement for precision in manipulation tasks. Additionally, his research on the compass-like biped robot explores nonlinear control of disturbed passive dynamic walking, tackling gait stability under real-world perturbations like ground irregularities. With a total of 26 citations across his top papers, Feki’s work bridges theoretical control methods and practical robotics applications, offering valuable insights for students and researchers in mechatronics and automation.