Mohamed Slimane
Papers
2
Total Citations
11
H-Index
2
About
Mohamed Slimane is a researcher whose work bridges artificial intelligence, robotics, and public science education. His primary research areas include fuzzy logic systems, evolutionary optimization, and autonomous mobile robot navigation. Slimane’s most cited work, "Fuzzy Inference System Optimization by Evolutionary Approach for Mobile Robot Navigation" (2018, 9 citations), addresses a core challenge in robotics: enabling a mobile robot to navigate autonomously toward a destination while avoiding obstacles. By optimizing fuzzy inference systems through evolutionary algorithms, he demonstrated how computational models can mimic human-like reasoning for real-time decision-making in dynamic environments. This contribution is particularly valuable for developing more adaptive and intelligent robotic systems. Beyond technical research, Slimane has also engaged in science communication, co-authoring "On the Popularization of Artificial Insects" (2006, 2 citations), an interactive exhibition designed to explain computer science and robotic problem-solving to a broad audience by drawing inspiration from insect behavior. This work highlights his commitment to making complex AI and robotics concepts accessible, inspiring the next generation of researchers and the public alike.
Research Focus
Key Achievements
Top Papers
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