Islem Reguii

Papers

Total Citations

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About

Islem Reguii is a robotics researcher whose work focuses on intelligent navigation and control for autonomous mobile robots operating in complex, cluttered environments. His key research areas include path planning, obstacle avoidance, and the integration of sliding mode control with artificial intelligence techniques. Reguii’s major contributions are twofold: he developed a novel Planning Navigation Algorithm that effectively solves both path planning and path tracking in static and dynamic settings, and he advanced the use of neuro-fuzzy systems to adaptively control robot movement in unknown terrains. His most cited paper (2022, 8 citations) introduces a combined planning-sliding mode control approach for safe navigation, while his follow-up work (2022, 6 citations) demonstrates how fuzzy logic and neuro-fuzzy methods can be tuned to improve autonomous decision-making. Though early in his career, Reguii’s work is already recognized for bridging classical control theory with modern computational intelligence, offering practical solutions for real-world robotic navigation challenges. His research is particularly valuable for students and engineers seeking robust, hybrid approaches to autonomous mobility.