Abdulkareem Sh. Mahdi Al-Obaidi

Taylor's University

Papers

5

Total Citations

131

H-Index

5

About

Abdulkareem Sh. Mahdi Al-Obaidi is a leading researcher in mobile robotics and intelligent control systems, with a focus on autonomous navigation, surveillance, and rehabilitation technologies. His work addresses critical challenges in real-world robotics, from hazardous area monitoring to assistive exoskeletons. Al-Obaidi’s most cited paper, "Embedded Design and Implementation of Mobile Robot for Surveillance Applications" (2021, 45 citations), demonstrates his impact in developing practical, remotely operated robots for security in homes, labs, and airports. He has advanced control theory through innovative approaches like PSO-optimized neural network PID control for omnidirectional mobile robots (2022, 31 citations) and the Pelican Optimization Algorithm for improved trajectory planning (2024, 23 citations). His contributions extend to biomedical engineering with active disturbance rejection control for wearable lower-limb systems (2022, 22 citations), enhancing rehabilitation exoskeletons. Al-Obaidi’s algorithmic design of block backstepping control for Segway mobile robots (2023) further showcases his versatility. With over 130 total citations, his research bridges optimization algorithms and practical robotics, offering students and engineers robust solutions for autonomous motion, collision avoidance, and human-robot interaction.

Research Focus

Key Achievements

5
H-Index
5
Papers
131
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Embedded Design and Implementation of Mobile Robot for Surveillance Applications
45 citations · 2021
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Taylor's University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago