Karim Benbouabdallah
Papers
6
Total Citations
60
H-Index
4
About
Karim Benbouabdallah is a robotics researcher whose work centers on autonomous mobile robot navigation, intelligent control systems, and target tracking. His research sits at the intersection of artificial intelligence and robotics, with a particular focus on developing sophisticated controllers that enable mobile robots to pursue moving targets in unknown, obstacle-laden environments. Benbouabdallah's most influential contribution is his 2013 paper on Genetic Fuzzy Logic Control for mobile robot target tracking, which has garnered 34 citations and demonstrates the power of combining evolutionary computation with fuzzy logic to calculate optimal linear and angular robot velocities. His broader body of work reflects a systematic exploration of hybrid intelligent approaches, integrating fuzzy logic, Lyapunov stability theory, genetic algorithms, particle swarm optimization, and bacterial foraging algorithms to solve the challenging non-holonomic robot control problem. Published primarily across a prolific research period in 2012–2013, his papers collectively address both target tracking and obstacle avoidance, culminating in behavior-based multi-obstacle navigation strategies. With over 60 total citations, Benbouabdallah's contributions offer valuable frameworks for researchers working on autonomous navigation, making his work an important reference point for those developing real-world robotic control systems in dynamic, unpredictable environments.
Research Focus
Key Achievements
Top Papers
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