Abdulkareem Sh. Mahdi Al‐Obaidi

Taylor's University

Papers

1

Total Citations

22

H-Index

1

About

Abdulkareem Sh. Mahdi Al-Obaidi is a researcher specializing in sensor optimization, robotics, and applied metrology, with a focus on enhancing the performance of low-cost sensing technologies for real-world applications. His most notable work centers on improving the measurement accuracy of ultrasonic sensors — particularly the widely used HC-SR04 — through the application of advanced computational intelligence techniques. In his highly cited 2023 paper, Al-Obaidi employed the Pelican Optimization Algorithm to significantly enhance distance measurement capabilities of ultrasonic sensors in robotic systems, a contribution that has already garnered 22 citations, reflecting strong community interest from both robotics engineers and instrumentation researchers. His research bridges the gap between affordable hardware and high-precision performance, making sophisticated sensing capabilities more accessible to developers working within cost constraints. By applying bio-inspired optimization methods to sensor calibration and signal processing challenges, Al-Obaidi contributes to a growing body of work that democratizes advanced robotics technology. His efforts are particularly relevant for autonomous systems, navigation, and human-robot interaction, where reliable distance measurement is critical. Researchers and students working at the intersection of embedded systems, robotics, and computational optimization will find his contributions both practically valuable and methodologically innovative.

Research Focus

Key Achievements

1
H-Index
1
Papers
22
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Measurement Enhancement of Ultrasonic Sensor using Pelican Optimization Algorithm for Robotic Application
22 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Taylor's University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago