Geun Young Kwon
Papers
2
Total Citations
8
H-Index
2
About
Geun Young Kwon is a robotics researcher whose work centers on intelligent systems, human-robot interaction, and autonomous task planning. Their most notable contribution lies in the development of script-based frameworks for home-service robots — a domain where the behavioral demands of robotic systems differ significantly from those of conventional intelligent systems. In their 2007 paper, "Multiple Script-based Task Model and Decision/Interaction Model for Fetch-and-carry Robot," Kwon introduced a task modeling approach capable of simultaneously supporting meaningful human-robot interactions while enhancing overall task performance, earning 6 citations and establishing a foundation for subsequent work in domestic robotics planning. Building on this, their 2008 study on action rule extraction extended these ideas by designing support systems that streamline script-based robot action planning, further refining the practical applicability of these models. Kwon's research addresses a critical challenge in robotics: enabling machines to operate meaningfully and efficiently within everyday human environments. Their contributions offer valuable insights for students and researchers working at the intersection of artificial intelligence, autonomous systems, and human-centered robot design.
Research Focus
Key Achievements
Top Papers
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