Keunhyun Oh
Papers
1
Total Citations
4
H-Index
1
About
Keunhyun Oh is a researcher whose work lies at the intersection of human-robot interaction, dialogue systems, and gesture-based communication. His most-cited paper, "Gesture based dialogue management using behavior network for flexibility of human robot interaction" (2009), addresses a critical limitation in early robotics: the rigidity of predefined dialogue responses. By proposing a gesture-based dialogue management system that leverages behavior networks, Oh introduced a more adaptive and flexible framework for human-robot communication, allowing robots to interpret and respond to non-verbal cues in real time. This contribution has garnered 4 citations, reflecting its foundational role in advancing more natural and intuitive interaction paradigms. Oh’s research is particularly notable for its emphasis on bridging the gap between static, scripted robot behaviors and the dynamic, multimodal nature of human communication. His work has implications for service robotics, assistive technologies, and collaborative systems, where seamless interaction is key. Through his focus on gesture-driven dialogue, Oh has helped pave the way for robots that can engage with humans more fluidly, making his contributions a valuable reference for students and researchers exploring the future of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1