Papers
1
Total Citations
3
H-Index
1
About
Fatma Affane is a researcher specializing in intelligent control systems and mobile robotics, with a particular focus on soft computing and autonomous navigation. Her most-cited work, “Type-2 fuzzy logic controller optimized by wavelet networks for mobile robot navigation” (2020), introduces a novel control strategy that integrates type-2 fuzzy reasoning with wavelet network optimization. This approach enables mobile robots to navigate autonomously and adaptively in complex environments, addressing key challenges in uncertainty handling and real-time decision-making. Although her citation count is still growing, her work contributes to advancing the field of computational intelligence by combining fuzzy logic with wavelet-based learning for improved robotic performance. Affane’s research is particularly relevant for students and engineers interested in autonomous systems, fuzzy control, and bio-inspired optimization. Her contributions highlight the potential of hybrid intelligent architectures in robotics, offering a pathway toward more robust and efficient navigation solutions. As her publication record develops, Affane is establishing herself as a promising voice in the intersection of fuzzy systems and mobile robot autonomy.
Research Focus
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Top Papers
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