Oday I. Abdullah

University of Baghdad

Papers

5

Total Citations

64

H-Index

4

About

Dr. Oday I. Abdullah is a pioneering researcher in intelligent robotic systems and computer vision, with a focus on developing autonomous solutions for industrial and safety-critical applications. His work bridges the gap between real-time automation and interactive design, as demonstrated by his highly cited 2019 paper on a robotic vision sorting system (37 citations). Dr. Abdullah’s major contributions include advancing intelligent robotic welding through computer vision technology, where his 2022 study introduced a novel image-processing approach for precise weld line detection—a critical innovation for modern manufacturing. He has also tackled complex challenges in robotic manipulation, such as stable grasping using granular media jamming, and developed autonomous systems for fire-fighting and in-pipe inspection. His 2024 research on a fire-fighting robotic car and IoT-enabled pipe inspection robots showcases his commitment to addressing real-world hazards. With a growing citation impact and a portfolio spanning from foundational grasping mechanics to deployable autonomous vehicles, Dr. Abdullah’s work is shaping the next generation of adaptive, vision-guided robotics for industry and public safety.

Research Focus

Key Achievements

4
H-Index
5
Papers
64
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A real-time automated sorting of robotic vision system based on the interactive design approach
37 citations · 2019
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Baghdad

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago