Mohammed ELbouzekraoui

Papers

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About

Mohammed ELbouzekraoui is a researcher specializing in autonomous mobile robotics, with a particular focus on intelligent control systems and obstacle avoidance. His work addresses one of the most critical challenges in robotics: enabling unicycle robots to navigate safely through uncertain environments. In his notable 2020 paper, "Obstacle Avoidance using Fuzzy Controller for Unicycle Robot," he developed a fuzzy logic-based controller that allows robots to dynamically avoid both fixed and mobile obstacles while pursuing a goal. This approach enhances path planning and real-time decision-making in unpredictable settings. Although early in his career, his contributions have already garnered attention, with his key paper accumulating 5 citations, reflecting growing interest in fuzzy control strategies for autonomous navigation. ELbouzekraoui’s research bridges theoretical control methods and practical robotic applications, offering a robust solution for safe, adaptive movement. His work is particularly relevant for students and researchers exploring intelligent navigation systems, fuzzy logic applications, and autonomous vehicle design, providing a foundation for further innovation in robotics and artificial intelligence.