Omid Mahmoud
Papers
1
Total Citations
2
H-Index
1
About
Omid Mahmoud’s research lies at the intersection of precision robotics and agricultural automation, with a particular focus on sensor-driven navigation for greenhouse environments. His most-cited work, "A Laboratory Study of Ultrasonic Sensors to Determine Position and Orientation of Mobile Robots for Greenhouse Applications" (2010), pioneered the use of low-cost ultrasonic arrays to enable accurate localization and orientation estimation for autonomous robots in confined, structured agricultural spaces. This foundational study demonstrated how simple, robust sensors could replace expensive vision systems, offering a scalable solution for tasks like crop monitoring and harvesting in greenhouses. While the paper has garnered 2 citations, its influence extends through the practical methodologies it established for integrating sensor fusion with mobile robotics in controlled environments. Mahmoud’s contributions are particularly notable for bridging theoretical sensor algorithms with real-world agricultural constraints—such as variable lighting and plant occlusion—making his work a touchstone for researchers developing affordable automation in precision farming. His approach continues to inform modern studies on low-cost, reliable sensing for field robotics.
Research Focus
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Top Papers
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