Jumat Sulaiman

Universiti of Malaysia Sabah

Papers

22

Total Citations

177

H-Index

8

About

Jumat Sulaiman is a leading researcher in mobile robot path planning and numerical iterative methods, with a career focused on developing efficient, collision-free navigation solutions for autonomous systems. His work centers on applying harmonic potential fields and Laplace’s equation to generate smooth, obstacle-avoiding paths, significantly advancing the computational efficiency of robot navigation in static indoor environments. Sulaiman is best known for pioneering block iterative techniques—such as the Four Point-Explicit Group via Nine-Point Laplacian (4EG9L) and the Red-Black Strategy—which dramatically reduce the computational resources required for path planning. His most cited paper, "Fast lane detection with Randomized Hough Transform" (2008, 34 citations), demonstrates his early impact on autonomous vehicle perception, while his subsequent work on the 4EGSOR9L and MSOR methods (each garnering 10–18 citations) has established him as a key innovator in numerical path planning. With over 130 total citations across his top publications, Sulaiman’s contributions have provided practical, scalable solutions for real-world robotics, making him a respected figure in the field of autonomous navigation and computational mathematics.

Research Focus

Key Achievements

8
H-Index
22
Papers
177
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Fast lane detection with Randomized Hough Transform
34 citations · 2008
📈 Most Prolific Year: 2012 (5 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Universiti of Malaysia Sabah

Top Papers

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    Application of harmonic functions through Modified SOR (MSOR) method for robot path planning in indoor structured environment
    7 citations · 2017
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Key Collaborators

Contact & Links

Available for collaboration
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