Zulkifli B. M. Yusssof
Papers
1
Total Citations
4
H-Index
1
About
Dr. Zulkifli B. M. Yusssof is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots in unknown environments. His most-cited paper, "Global mobile robot path planning using laser simulator" (2016), introduces a novel laser simulator search graph approach that enables collision-free path determination in 2D maps using MATLAB. This contribution addresses a fundamental challenge in robotics: enabling robots to navigate safely without prior environmental knowledge. With 4 citations, this work has laid groundwork for further studies in sensor-based navigation and simulation-driven path optimization. Dr. Yusssof’s research bridges theoretical algorithms and practical simulation tools, offering accessible solutions for real-world robotic deployment. His achievements highlight the importance of integrating laser sensing with graph search techniques to enhance robot autonomy. For students and researchers exploring mobile robotics, his work provides a clear example of how simulation can solve complex path planning problems, making him a notable contributor to the field of intelligent robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Global mobile robot path planning using laser simulator4 citations · 2016