Rawad Abdulghafor
International Islamic University Malaysia, Arab Open University
Papers
5
Total Citations
64
H-Index
4
About
Rawad Abdulghafor is a leading researcher in autonomous robotics and intelligent control systems, with a primary focus on mobile robot navigation, path planning, and sensor fusion. His most impactful contributions include the development of the Generalized Laser Simulator (GLS) algorithm, a novel approach that enables wheeled mobile robots to navigate constrained environments with both static and dynamic obstacles—a breakthrough cited in over 26 papers. Abdulghafor’s work on inertia moment estimation, integrated with Active Force Control, has advanced robot control in constrained settings, earning 21 citations. He has also pioneered the use of unmanned aerial vehicles (UAVs) combined with cascading fuzzy logic and image processing for automatic visual inspection of oil tank surfaces, addressing critical safety issues like corrosion detection. His recent research on sensor fusion for position estimation in road-following and roundabout scenarios demonstrates his ongoing commitment to real-world autonomous navigation. With over 64 citations across his top papers, Abdulghafor’s innovations are shaping the future of robotics in industrial inspection, autonomous driving, and constrained-environment mobility.
Research Focus
Key Achievements
Top Papers
- 1
- 2Novel Algorithm for Mobile Robot Path Planning in Constrained Environment16 citations · 2021
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