Pazli Mohd Sulong
Papers
1
Total Citations
8
H-Index
1
About
Dr. Pazli Mohd Sulong is a leading researcher in mobile robotics, specializing in autonomous navigation and perception systems. Her work focuses on advancing Simultaneous Localization and Mapping (SLAM) algorithms, particularly for challenging real-world environments. Her most-cited paper, "SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths" (2025, 8 citations), provides critical insights into how visual and LiDAR-based SLAM systems perform under adverse conditions—such as poor lighting and rough terrain—that commonly degrade robot autonomy. This work is foundational for improving the reliability of robots in outdoor and industrial settings. Dr. Sulong’s contributions help bridge the gap between controlled laboratory testing and real-world deployment, directly impacting fields like search-and-rescue, agricultural robotics, and autonomous exploration. Her research is highly regarded for its rigorous benchmarking and practical relevance, making her a key voice in the evolution of robust robotic navigation systems.
Research Focus
Key Achievements
Top Papers
- 1