Papers
3
Total Citations
7
H-Index
2
About
Abdelwahab Naji is a researcher whose work sits at the intersection of robotics, artificial intelligence, and human-computer interaction, with a particular focus on developing intelligent systems for autonomous navigation and human-robot interaction. His research explores how advanced computational techniques — including fuzzy logic, neural networks, and neuro-fuzzy hybrid approaches — can be harnessed to solve complex real-world challenges in robotics. Among his notable contributions is his 2020 work on structured human head pose estimation using Fuzzy Lattice Reasoning, a novel approach that advances the field of social robotics by enabling more natural and effective vision-based human-robot interaction. His subsequent research has pushed boundaries in autonomous mobile robot navigation, with studies introducing expertise-guided ANFIS controllers and optimization strategies for neuro-fuzzy systems that enhance both precision and efficiency in reactive navigation tasks applicable across medicine, military, agriculture, and space exploration. Naji's publications, while early in citation accumulation, reflect a consistent commitment to bridging theoretical AI methodologies with practical robotics applications. His growing body of work positions him as an emerging voice in intelligent robotics, offering promising frameworks that could meaningfully shape how autonomous systems perceive and interact with dynamic environments.
Research Focus
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Top Papers
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