Papers
3
Total Citations
19
H-Index
2
About
Fatma Boufera is a leading researcher in mobile robotics and intelligent control systems, specializing in autonomous navigation for dynamic and uncertain environments. Her work centers on integrating fuzzy logic with evolutionary algorithms to enhance robot decision-making, enabling safe and efficient obstacle avoidance. Her most-cited paper, "Fuzzy Inference System Optimization by Evolutionary Approach for Mobile Robot Navigation" (2018, 9 citations), pioneers a method that mimics human reasoning to guide robots to their destinations while navigating cluttered spaces. She further advanced the field with "Mobile Robot Navigation using Fuzzy Limit-Cycles in Cluttered Environment" (2014, 8 citations), a hybrid approach that improves upon traditional limit-cycle methods for flexible, safe navigation. Boufera also contributed practical implementations, such as her work on the Thymio II mobile robot, demonstrating real-world applications of fuzzy control systems. With a cumulative citation count reflecting her growing influence, Boufera’s research bridges theoretical optimization and practical robotics, offering scalable solutions for autonomous systems. Her achievements underscore her role in advancing intelligent navigation, making her work essential for students and researchers exploring fuzzy logic, evolutionary computation, and mobile robot autonomy.
Research Focus
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