Huan-Chen Ling

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Huan-Chen Ling’s research centers on autonomous mobile robotics, with a specific focus on vision-based navigation, environment mapping, and control systems. His work addresses the fundamental challenge of enabling robots to perceive, map, and navigate unknown environments using monocular cameras—a cost-effective and widely applicable approach. In his most cited paper, "Mobile robot navigation and control with monocular surveillance cameras" (2013, 5 citations), Ling explores how improved environment recognition and precise control can make autonomous systems more intelligent and reliable. He builds on this in "Visual environment mapping for mobile robot navigation" (2014, 2 citations), where he emphasizes the importance of effective navigation maps—particularly sparse maps—for planning robot trajectories in unfamiliar settings. While his citation counts are modest, Ling’s contributions are foundational to the practical deployment of vision-based navigation in real-world scenarios. His work is especially valuable for researchers and students interested in low-cost, camera-driven robotic autonomy, and it provides a clear stepping stone toward more advanced mapping and path-planning techniques.