Zulkifli B. M. Yussof
Papers
3
Total Citations
26
H-Index
3
About
Zulkifli B. M. Yussof is a robotics researcher specializing in mechatronic systems, autonomous navigation, and sensor fusion for mobile robotics. His work focuses on developing practical, cost-effective robotic solutions for real-world applications, particularly in road infrastructure maintenance and autonomous vehicle navigation. His most impactful contribution is the design and development of a Wheeled Mobile Robot prototype for autonomous road marks painting (13 citations), which integrates differential drive, vision, measurement, and painting units into a cohesive mechatronic system—a novel approach to automating road maintenance tasks. He has also advanced autonomous navigation through sensor fusion techniques for online mapping and feature extraction in road-following and roundabout environments (9 citations), enabling robots to perceive and navigate complex road structures. Notably, Yussof champions accessibility in robotics by leveraging open source hardware and software platforms like Android, Arduino, Linux, and OpenCV (4 citations), demonstrating that sophisticated AI and robotics systems can be developed with lower budgets and flatter learning curves. His work bridges the gap between academic research and practical deployment, making autonomous systems more viable for infrastructure applications.
Research Focus
Key Achievements
Top Papers
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