A. Suhaib
Papers
1
Total Citations
3
H-Index
1
About
A. Suhaib is a researcher whose work centers on mobile robotics and fuzzy logic control systems, with a particular emphasis on indoor navigation and autonomous movement. His most cited paper, "The effects of membership function of the input and output fuzzy logic controller in a mobile robot's straight line navigation" (2014), explores how fuzzy membership functions influence the precision of two-wheeled mobile robots as they navigate toward stable targets along predefined straight paths. By analyzing input movement data and output probabilities, Suhaib contributes to optimizing robot trajectory and control in constrained indoor environments. Though his citation count remains modest—with his top work garnering 3 citations—his research addresses foundational challenges in fuzzy logic applications for robotics, offering insights that support the development of more reliable autonomous navigation systems. Suhaib’s work is particularly relevant for students and researchers interested in the intersection of computational intelligence and mobile robotics, where even small improvements in control algorithms can significantly enhance real-world performance.
Research Focus
Key Achievements
Top Papers
- 1