Yeon-Ho Kim
Papers
1
Total Citations
4
H-Index
1
About
Yeon-Ho Kim is a robotics researcher whose work focuses on advancing 3D spatial perception and memory-efficient mapping for autonomous systems, particularly in home-service robotics. His key contributions lie in developing real-time map-building algorithms that balance computational efficiency with environmental accuracy. In his most cited work, "Memory-efficient real-time map building using octree of planes and points" (2013), Kim introduced an innovative octree-based framework that processes point clouds from time-of-flight cameras to incrementally construct 3D maps. This approach intelligently represents surfaces using both planes and points, significantly reducing memory overhead while maintaining real-time performance—a critical requirement for mobile robots navigating dynamic indoor environments. Though his citation count (4) reflects a focused, early-career impact, the work demonstrates a practical engineering solution to a core challenge in robotics: how to build detailed, updatable maps on resource-constrained platforms. Kim’s research bridges computer vision, sensor fusion, and embedded systems, offering a foundation for future work in autonomous navigation and human-robot interaction. His contributions are particularly relevant for students and engineers developing cost-effective, real-time mapping solutions for service robots.
Research Focus
Key Achievements
Top Papers
- 1