Papers
3
Total Citations
14
H-Index
2
About
Do-Yoon Kim is a pioneering researcher in mobile robotics and computer vision, with a focus on omnidirectional imaging and active vision systems. His early work established foundational techniques for feature matching in omnidirectional images, addressing the critical challenge of map generation for mobile robots under large sensor motion. His 2003 paper on this topic, which has accumulated 8 citations, introduced robust matching methods that enable reliable navigation and localization in complex environments. Kim further advanced the field by applying singular value decomposition to omnidirectional image feature matching, a contribution that remains relevant for autonomous systems. In 2005, he expanded into social robotics with an active vision system capable of facial expressions, reflecting the growing demand for human-robot interaction. This work, cited 2 times, demonstrates his versatility in bridging perception and expression. Though his citation counts are modest, Kim’s research laid groundwork for later advances in omnidirectional sensing and robotic vision, particularly in map-building and active gaze control. His contributions remain a reference point for students and engineers developing autonomous navigation and expressive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3An active vision system with facial expressions2 citations · 2005