Mohammad A. Ayoubi
Papers
1
Total Citations
2
H-Index
1
About
Mohammad A. Ayoubi is a researcher specializing in precision engineering and intelligent control systems, with a focus on enhancing the accuracy of industrial automation equipment. His key research areas include mechatronics, calibration algorithms, and fuzzy logic systems—particularly interval type-2 fuzzy logic systems (IT2FLS). Ayoubi’s major contribution lies in developing novel calibration methods to improve the positional accuracy of XY-linear stages, which are critical for high-precision tasks in manufacturing and robotics. His 2023 paper, "Enhancing Positional Accuracy of the XY-Linear Stage Using Laser Tracker Feedback and IT2FLS," demonstrates a practical approach to correcting imprecisions in linear motor stages and gearboxes, achieving measurable improvements in object handling and manipulation. While his citation count is currently modest, this work represents a foundational step in bridging advanced fuzzy control with real-world industrial applications. Ayoubi’s research is notable for its direct relevance to industries requiring micron-level precision, such as semiconductor fabrication and automated assembly. His integration of laser tracker feedback with IT2FLS offers a scalable solution for retrofitting existing systems, highlighting his commitment to impactful, applied engineering.
Research Focus
Key Achievements
Top Papers
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