Chung-Hee Lee

Electronics and Telecommunications Research Institute, Daegu Gyeongbuk Institute of Science and Technology

Papers

Total Citations

H-Index

About

Chung-Hee Lee is a pioneering researcher in the intersection of educational robotics and autonomous systems, with foundational contributions to human-robot interaction and sensor-based perception. Lee’s most cited work, "A Case study of Edutainment Robot: Applying Voice Question Answering to Intelligent Robot" (2007, 8 citations), introduced a groundbreaking voice question-answering model for educational robots, enabling them to analyze spoken queries and retrieve answers from Korean encyclopedias—a key early step in making robots interactive learning companions. This work demonstrated how intelligent robots could serve as engaging tutors, blending entertainment with education. Lee further advanced autonomous robotics in "Optical sensor-based object detection for autonomous robots" (2011, 2 citations), which developed CCD sensor-based detection methods crucial for safe navigation and obstacle avoidance. By addressing the fundamental challenge of environmental perception, Lee’s research laid groundwork for reliable autonomous driving in robotics. Though citation counts reflect niche early-stage work, Lee’s contributions are notable for their foresight in combining natural language processing with robotics, anticipating today’s voice-activated educational tools. Lee’s career exemplifies how focused, application-driven research can shape the evolution of intelligent, socially-aware robots.