Somia Brahimi

Centre de Développement des Technologies Avancées

Papers

Total Citations

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About

Somia Brahimi is a researcher specializing in intelligent autonomous navigation systems, with a particular focus on car-like mobile robots operating in complex, unknown environments. Her work bridges robotics, artificial intelligence, and control systems to develop safer, more efficient automated transportation solutions. Brahimi’s most cited paper (2016, 7 citations) presents a comprehensive navigation framework for urban areas, integrating Hector SLAM for localization and HOG-based human detection to ensure safe, autonomous passenger transport. She further advanced the field with a 2019 study (5 citations) introducing a neuro-fuzzy (FNN) approach that enables robots to dynamically avoid obstacles while intelligently seeking target locations. These contributions demonstrate her expertise in sensor fusion, machine learning, and real-time decision-making for mobile robotics. Though her citation counts are modest, her work represents foundational steps toward practical autonomous vehicles, addressing critical challenges in perception and control. Brahimi’s research is particularly valuable for students and engineers interested in applying soft computing techniques to robotics, offering clear methodologies for integrating intelligent navigation in unpredictable settings.