Auday Al-Mayyahi
Papers
8
Total Citations
109
H-Index
6
About
Dr. Auday Al-Mayyahi is a leading researcher in robotics and intelligent control systems, with a focus on advancing autonomous navigation and precision manipulation. His work spans parallel robots, unmanned ground vehicles (UGVs), and legged robots, where he develops novel controllers that blend fractional-order PID, fuzzy logic, and neural network techniques. His most cited paper, "Control of a 3-RRR Planar Parallel Robot Using Fractional Order PID Controller" (2020, 32 citations), addresses high-accuracy material handling in industrial automation. Another key contribution, "Motion control design for unmanned ground vehicle in dynamic environment using intelligent controller" (2017, 26 citations), introduces a fuzzy inference system for robust UGV navigation in cluttered settings. Al-Mayyahi has also pioneered the use of Levenberg-Marquardt optimised neural networks for trajectory tracking (2015, 10 citations) and designed stable controllers for quadruped and eight-leg walking robots. His work on maze maneuvering and colored object tracking for differential drive robots further demonstrates his versatility. With over 100 cumulative citations, Al-Mayyahi’s research is instrumental in bridging theoretical control methods with practical robotics applications, making him a notable figure in intelligent automation and mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 3Design of a Stable an Intelligent Controller for a Quadruped Robot17 citations · 2019
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