Tawfiq H. Elmenfy
Papers
1
Total Citations
2
H-Index
1
About
Tawfiq H. Elmenfy is a researcher specializing in robotics, control systems, and intelligent optimization, with a particular focus on the integration of fuzzy logic and genetic algorithms for advanced robotic manipulation. His most-cited work, "Robot Arm Control Using Fuzzy Logic Design Integrated With Genetic Algorithm Optimization" (2021), addresses the fundamental challenge of controlling complex, nonlinear robot manipulator dynamics. By combining fuzzy logic’s adaptability with genetic algorithm optimization, Elmenfy proposes a method to precisely control joint torque and arm angle, overcoming the inherent difficulties of coupled differential equations in robotic systems. This contribution is significant for improving the accuracy and efficiency of robot arm control in industrial and autonomous applications. With 2 citations, his work is gaining recognition among researchers exploring intelligent control strategies. Elmenfy’s research sits at the intersection of computational intelligence and mechanical engineering, offering practical solutions for real-world robotic systems. His approach demonstrates a commitment to bridging theoretical optimization with tangible engineering outcomes, making his work valuable for students and researchers interested in the future of adaptive, automated control.
Research Focus
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Top Papers
- 1