Yap Ping Yean
Papers
1
Total Citations
6
H-Index
1
About
Yap Ping Yean is a researcher whose work focuses on the intersection of robotics, computer vision, and autonomous navigation. Her key research areas include mobile robot path planning, visual perception for robotic systems, and grid-based navigation algorithms. Her most notable contribution is the development of an efficient grid-based navigation system for wheeled mobile robots that leverages visual perception to enhance autonomous movement in complex environments. This work, published in 2012 and cited six times, demonstrates her ability to integrate real-time visual data with algorithmic path planning, offering a practical solution for improving robot autonomy in dynamic settings. While her citation count reflects a focused, early-stage impact, her research lays important groundwork for advancing visual-guided robotics. Yap Ping Yean’s work is particularly relevant for students and researchers interested in low-cost, vision-based navigation systems, and her approach to combining grid-based methods with visual inputs provides a clear foundation for further exploration in autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1