Noor Abdul

University of Technology - Iraq

Papers

1

Total Citations

20

H-Index

1

About

Dr. Noor Abdul is a leading researcher in autonomous mobile robotics, with a primary focus on intelligent path planning and navigation systems. Her most cited work, "Intelligent Hybrid Path Planning Algorithms for Autonomous Mobile Robots" (2022, 20 citations), addresses the fundamental challenge of enabling robots to reach desired goals through optimized paths that balance time, distance, and safety from obstacles. Dr. Abdul's major contribution lies in developing hybrid algorithms that integrate multiple computational intelligence approaches to overcome the limitations of traditional single-method path planning. Her research has significant implications for real-world applications, including warehouse automation, search-and-rescue operations, and autonomous transportation. By focusing on the backbone of autonomous mobile robots—path planning—she has helped advance the reliability and efficiency of robotic systems in dynamic, obstacle-rich environments. Dr. Abdul's work continues to influence both academic research and practical implementations in robotics, making her a notable figure in the field of autonomous systems engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Hybrid Path Planning Algorithms for Autonomous Mobile Robots
20 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Technology - Iraq

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago