Papers
1
Total Citations
4
H-Index
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About
Houcine Zerfa is a researcher specializing in autonomous mobile robotics and intelligent control systems, with a particular focus on fuzzy logic and neuro-fuzzy navigation. His work addresses the challenge of enabling robots to navigate unknown environments reactively—reaching targets while avoiding obstacles without pre-mapped paths. His most-cited paper, "Fuzzy reactive navigation for autonomous mobile robot with an offline adaptive neuro fuzzy system" (2013), proposes a fuzzy logic-based reactive navigation system that allows a mobile robot to adapt its behavior in real time. The system is enhanced by an offline adaptive neuro-fuzzy framework, which tunes the fuzzy rules for improved performance. This work has garnered 4 citations, reflecting its foundational role in the development of intelligent, low-cost navigation solutions. Zerfa’s contributions lie at the intersection of control theory and artificial intelligence, offering practical approaches for autonomous systems in uncertain environments. His research is particularly valuable for students and engineers seeking to implement robust, sensor-based navigation in mobile robotics without relying on complex computational resources.
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