Mohamed Abdelwahab
Egypt-Japan University of Science and Technology, Ain Shams University, University of Padua
Papers
5
Total Citations
76
H-Index
4
About
Dr. Mohamed Abdelwahab is a leading researcher in intelligent robotic navigation and control, with a primary focus on enhancing the autonomy and safety of mobile robots in complex environments. His most impactful work introduces Z-number based Fuzzy Logic control for trajectory tracking of wheeled mobile robots—a novel approach that addresses the critical challenge of uncertainty and imprecision in sensor data. This seminal paper, with 53 citations, demonstrates how advanced fuzzy systems can achieve robust and smooth path following, a cornerstone for safe autonomous navigation. Dr. Abdelwahab has further advanced the field by developing fuzzy logic control strategies for omni-directional robots in unstructured settings, tackling the persistent problem of local minima in nonconvex environments. His contributions extend to path planning with minimal aesthetic B-spline curves, emphasizing comfort and safety in driving and robotics. With a career spanning foundational work on global position information in unknown exploration (2009) to recent adaptive robust controllers for robotic manipulators (2024), Dr. Abdelwahab consistently pushes the boundaries of handling uncertainty in robotic systems, making his research essential for students and engineers developing next-generation autonomous vehicles and service robots.
Research Focus
Key Achievements
Top Papers
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- 3On Path Planning using Minimal Aesthetic B-Spline Curves7 citations · 2019
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