Papers
5
Total Citations
38
H-Index
4
About
A. Hassam is a robotics and control systems researcher whose work centers on autonomous mobile robot navigation, trajectory planning, and intelligent control strategies. Their most significant contributions lie at the intersection of flatness-based control theory and fuzzy logic, developing hybrid methodologies that address real-world uncertainties in robotic motion. Hassam's 2021 comparative study of Fuzzy Logic and Interval Type-2 Fuzzy Logic controllers for mobile robot trajectory planning—their most cited work with 14 citations—demonstrated how advanced fuzzy approaches can enhance navigation robustness and efficiency. Their 2018 paper on robust-flatness controller design for differentially driven wheeled mobile robots, garnering 11 citations, further established their expertise in nonholonomic systems. A recurring theme across their portfolio is the application of differential flatness to simplify motion planning for constrained robotic platforms, including the Pioneer 3-DX robot. Notably, Hassam has also extended these techniques to biomedical engineering, proposing flatness-fuzzy control strategies for swimming microrobots intended for medical applications. Collectively, their research offers practical, mathematically grounded frameworks for intelligent autonomous navigation across diverse robotic platforms.
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