Cheol Ho Yun

Papers

Total Citations

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About

Cheol Ho Yun is a robotics researcher whose work bridges computer vision and autonomous navigation, with a particular focus on practical, real-world applications. His key research areas include vision-based mobile robotics, autonomous navigation, and intelligent systems for service environments. Yun’s most notable contribution is his development of a vision-based navigation method for a golf ball collecting mobile robot, detailed in his 2013 paper, which has garnered 13 citations. This work demonstrates how wide-view camera images can be used to determine the relative position and direction between a robot and target objects, enabling efficient autonomous operation in unstructured settings like golf driving ranges. By integrating computer vision with robotic control, Yun has advanced the field of service robotics, showing how low-cost sensors can replace expensive LIDAR systems for specific tasks. His research highlights the potential for autonomous robots to perform labor-intensive chores, making him a valuable contributor to the growing intersection of robotics and everyday automation.