Sallehuddin Mohamed Haris
Papers
7
Total Citations
56
H-Index
5
About
Sallehuddin Mohamed Haris is a robotics researcher whose work bridges computer vision, autonomous navigation, and biomedical engineering. His primary research areas include mobile robot path planning, image processing for obstacle avoidance, and assistive rehabilitation technologies. Haris made significant early contributions to vision-based navigation, developing novel methods that combine Quad-Tree Decomposition with Voronoi Diagrams to enable mobile robots to intelligently navigate cluttered environments. His most cited work, "Vision-Based Mobile Robot Navigation Using Image Processing and Cell Decomposition" (2009, 15 citations), established foundational techniques for using webcams as primary sensors for robot localization and path planning. He further advanced low-cost navigation systems by integrating laser emitters with webcams for distance estimation, making autonomous robotics more accessible. More recently, Haris has expanded into biomedical engineering, authoring a comprehensive review on gait rehabilitation devices (2023, 5 citations), reflecting a shift toward socially impactful applications. His work on indoor geospatial information systems and monocular depth estimation demonstrates versatility across mapping and perception domains. With a career spanning over a decade, Haris's research has accumulated approximately 56 citations, influencing both autonomous navigation and rehabilitation robotics communities.
Research Focus
Key Achievements
Top Papers
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- 4Robot path obstacle locator using webcam and laser emitter8 citations · 2010
- 5Development of gait rehabilitation devices: a review of the literature5 citations · 2023
- 6Geospatial Information System Based on Indoor Plan UKM (FKAB)3 citations · 2020
- 7Depth estimation from monocular vision using image edge complexity3 citations · 2011