Kyoung Soo Chun

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Kyoung Soo Chun is a robotics researcher whose work centers on human-robot interaction, with a particular focus on making robots more expressive and engaging through gesture and sound. His major contributions include developing a novel three-level robot motion hierarchy structure that simplifies the programming of complex, lifelike gestures for educational and entertainment robots. This methodology, demonstrated on the robot "Engkey," allows for intuitive gesture variation and non-verbal communication, directly enhancing how robots interact with humans in learning and play settings. Additionally, Chun has explored the auditory dimension of interaction by proposing a novel musical notation system designed to enable robots to convey emotional states through sound. This work acknowledges that auditory expression is a more primal and direct form of communication than visual cues, making it a critical component for creating truly responsive social robots. While his most cited paper on gesture motion programming has garnered 5 citations, and his work on emotional sound expression has 2, these foundational ideas contribute to the broader field of socially assistive robotics. Chun’s research is particularly notable for its practical application in educational contexts, aiming to create robots that are not just functional tools, but engaging companions.