Fatima Chouireb
Papers
7
Total Citations
65
H-Index
4
About
Fatima Chouireb is a leading researcher in intelligent robotics and autonomous navigation, with a focus on developing advanced computational control systems for mobile robots. Her work centers on integrating fuzzy logic, neural networks, and adaptive neuro-fuzzy inference systems (ANFIS) to solve complex trajectory tracking and path-following problems. Chouireb’s most influential contribution is her 2019 paper on a recurrent TSK interval type-2 fuzzy neural network for mobile robot control, which has garnered 28 citations and introduced an online learning framework that adapts both structure and parameters in real time. She has also pioneered the use of the Levenberg-Marquardt Iterated Extended Kalman Filter for training neural network controllers, achieving robust performance in wheeled robot navigation. Her research extends to sensor fusion and SLAM, with a 2024 study on enhancing 2D Graph-SLAM accuracy through pose graph optimization and loop closure detection. With over 65 total citations across her key works, Chouireb’s contributions are shaping the next generation of autonomous systems, offering efficient, adaptive solutions for robots operating in unknown and dynamic environments.
Research Focus
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