Yucheol Lee

Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Yucheol Lee is a robotics researcher whose work bridges autonomous perception and human-robot collaboration, with a focus on intelligent systems that operate effectively in uncertain environments. His key research areas include sonar-based mapping, feature extraction, and human-in-the-loop robotic control. Lee’s most cited work, “Evaluation of features through grid association for building a sonar map” (2006, 11 citations), introduces a novel method for constructing feature maps from sparse sonar data, significantly reducing phantom features that plague traditional approaches. By combining feature extraction with probability grid mapping, this contribution enhances the reliability of spatial perception for mobile robots operating with limited sensor data. In his 2008 paper “Robot task control utilizing human-in-the-loop perception” (2 citations), Lee proposes an innovative framework that hybridizes robotic perception with human cognitive input, enabling robots to maintain robust task execution in uncontrolled environments through networked human intervention. This work demonstrates Lee’s interest in practical, resilient systems that leverage human intelligence to overcome sensor limitations. While his citation counts reflect a focused, early-career impact, his contributions to sonar-based mapping and human-robot interaction offer foundational insights for researchers developing cost-effective, reliable robotic perception systems.