Junho Shin

Dong-Eui University, Chungnam National University

Papers

Total Citations

H-Index

About

Junho Shin’s research lies at the intersection of human-robot interaction, emotional computing, and autonomous navigation. In his early work on emotional modeling for software robots, Shin explored how artificial friendship and familiarity could enhance robot sociability—a foundational step toward more natural human-robot relationships. His 2005 paper on this topic, though modestly cited, anticipated later developments in affective computing. More recently, Shin has focused on practical perception systems for autonomous robots. His 2020 work on target distance calculation using image segmentation proposes a low-cost, vision-based method that enables robots to navigate hazardous environments, replacing humans in dangerous tasks. This shift from emotional modeling to applied computer vision demonstrates his versatility in addressing both the social and functional challenges of robotics. While his citation counts remain modest, Shin’s contributions reflect a sustained commitment to making robots more capable and relatable—a dual focus that is increasingly vital as robots move from labs into everyday life.