Mona Mohamed
Papers
1
Total Citations
2
H-Index
1
About
Mona Mohamed’s research lies at the intersection of intelligent control systems, robotics, and optimization algorithms, with a particular focus on enhancing the precision and adaptability of robotic manipulators. Her most-cited work, "Robot Arm Control Using Fuzzy Logic Design Integrated With Genetic Algorithm Optimization" (2021), tackles the fundamental challenge of controlling robot arm angles by modulating joint torque. This study addresses the inherent complexity of robotic systems—characterized by coupled, highly nonlinear differential equations—by combining fuzzy logic’s interpretability with genetic algorithm optimization’s global search capabilities. Though early in its citation trajectory (2 citations), this work signals a promising contribution to adaptive control methodologies. Mohamed’s research is especially relevant for students and engineers seeking to bridge theoretical control theory with practical robotic applications, offering a framework for managing multi-input, nonlinear dynamics. Her approach exemplifies how hybrid intelligent systems can simplify complex control problems, making her a rising voice in the field of computational intelligence for robotics.
Research Focus
Key Achievements
Top Papers
- 1