Ji-Hoon Kang
Papers
3
Total Citations
19
H-Index
3
About
Ji-Hoon Kang’s research lies at the intersection of ubiquitous robotics, human-robot interaction, and socially intelligent systems. His early work pioneered the integration of wireless sensor networks with mobile robots to create “ubiquitous robotic spaces,” enabling robots to perceive and interact with their environment through distributed networked devices—a foundational contribution to ambient robotics. Building on this, Kang shifted focus to the social dimensions of robotics, investigating how robots can enhance human physical training through socially expressive behaviors. His 2016 study, employing the NAO humanoid robot, demonstrated that robot social skills significantly improve engagement and interaction quality during exercise, with 28 participants showing measurable behavioral differences. More recently, Kang has advanced turn-taking recognition in social human-robot interaction, developing multimodal systems that interpret cues to determine conversational timing—a critical step toward fluid, natural dialogue. Though his citation counts (9, 7, and 3 for his top papers) reflect a niche but growing field, his work bridges technical infrastructure and social robotics, offering practical frameworks for robots that are both context-aware and socially adept. Kang’s contributions are particularly relevant for researchers designing assistive, training, or companion robots that must operate seamlessly in human environments.
Research Focus
Key Achievements
Top Papers
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- 2
- 3