Mahmoud Elgeziry
Papers
1
Total Citations
9
H-Index
1
About
Dr. Mahmoud Elgeziry is a researcher at the forefront of industrial automation and mobile robotics, with a focused expertise in autonomous navigation systems. His most-cited work, "Radio-Frequency Guidance System for Path-Following Industrial Autonomous Guided Vehicles" (2022), has garnered 9 citations, establishing a foundational contribution to the field. In this pivotal study, Dr. Elgeziry addresses a critical challenge in industrial settings: enabling Automated Guided Vehicles (AGVs) to navigate reliably without human intervention. He proposes a novel radio-frequency-based guidance system that enhances path-following accuracy, directly improving efficiency and productivity in manufacturing, scanning, and measurement applications. This work stands out for its practical, cost-effective approach to a persistent industrial problem, offering a robust alternative to vision- or laser-based systems. Dr. Elgeziry’s research bridges the gap between theoretical robotics and real-world industrial deployment, making his contributions highly relevant for engineers and researchers developing next-generation autonomous systems. His ongoing work continues to shape how AGVs are integrated into smart factories, promising safer and more efficient automated workflows.
Research Focus
Key Achievements
Top Papers
- 1