Abdulkareem Y. Abdalla
Papers
2
Total Citations
11
H-Index
2
About
Abdulkareem Y. Abdalla is a researcher specializing in intelligent control systems, robotics, and nature-inspired optimization algorithms. His work focuses on enhancing motion and trajectory tracking in robotic systems by integrating bio-inspired algorithms with fuzzy logic control. In his highly cited 2022 study, Abdalla developed a modified artificial bee colony algorithm fused with features from particle swarm optimization to improve fuzzy control schemes for mobile robot motion tracking, earning 7 citations. He further advanced the field by introducing a grasshopper optimization algorithm-based fuzzy system for precise trajectory following in robot manipulators, a contribution cited 4 times. These works demonstrate Abdalla’s skill in hybridizing metaheuristic algorithms to solve complex control problems in robotics. His research is particularly notable for its practical impact on improving the accuracy and adaptability of autonomous robotic systems. Abdalla’s contributions are valuable for students and researchers interested in computational intelligence, fuzzy systems, and the application of swarm intelligence to real-world engineering challenges.
Research Focus
Key Achievements
Top Papers
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