Cherng-Liin Yong
Papers
1
Total Citations
8
H-Index
1
About
Cherng-Liin Yong is a robotics researcher whose work centers on human-robot interaction, machine vision, and autonomous navigation for service robots. His most-cited paper, "Human Tracking and Following using Machine Vision on a Mobile Service Robot" (2022, 8 citations), presents a robust human-following system designed to operate reliably in crowded environments. The system integrates real-time person identification, motion tracking, and simultaneous obstacle avoidance, addressing a critical challenge in deploying service robots alongside humans. This contribution is significant for advancing assistive robotics in settings like hospitals, warehouses, and public spaces, where robots must navigate dynamic, unpredictable surroundings while maintaining a safe and responsive following behavior. Yong’s work bridges computer vision and mobile robotics, offering practical solutions for robust target tracking without compromising safety. While his citation count is still growing, his research has already attracted attention from peers working on service robot autonomy and human-aware navigation. His achievements demonstrate a clear focus on translating vision-based algorithms into functional robotic systems, laying groundwork for more adaptive and socially integrated service robots in the near future.
Research Focus
Key Achievements
Top Papers
- 1