Papers
1
Total Citations
3
H-Index
1
About
H. Abdelkrim is a researcher whose work bridges the fields of autonomous robotics and intelligent control systems, with a particular focus on hardware implementation of navigation algorithms. Their key research areas include fuzzy logic control, path planning, and field programmable gate array (FPGA)-based architectures for robotic systems. Abdelkrim’s major contribution lies in demonstrating how complex, behavior-based planning algorithms can be efficiently translated into hardware, enabling faster and more reliable real-time control for autonomous robots. Their most-cited paper, "Implementation of a fuzzy logic tracking path algorithm on a field programmable gate array" (2006), has garnered 3 citations and represents a foundational effort in integrating high-level planning with low-level reactivity through FPGA technology. This work addresses a critical challenge in robotics: balancing goal-oriented planning with the need for rapid, adaptive responses to dynamic environments. By implementing fuzzy logic tracking directly on reconfigurable hardware, Abdelkrim has contributed to making autonomous systems more robust and computationally efficient. Their research continues to influence the development of embedded intelligent systems, offering practical solutions for real-world robotic navigation.
Research Focus
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Top Papers
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