Hyung-Oh Kwon

Daegu Gyeongbuk Institute of Science and Technology

Papers

Total Citations

H-Index

About

Hyung-Oh Kwon is a researcher specializing in robotics and autonomous navigation, with a particular focus on path planning in dynamic environments. His work addresses a critical gap in traditional path planning algorithms, which prioritize efficiency—such as shortest paths or minimal movement—but often lack stability when faced with moving obstacles in real-world or in-body settings. Kwon’s most cited paper, "Stable path planning algorithm for avoidance of dynamic obstacles" (2015, 4 citations), introduces a novel approach that enhances the reliability and safety of navigation systems, making it applicable to scenarios ranging from autonomous vehicles to medical microrobots. While his citation count reflects a niche but impactful contribution, his research underscores the importance of stability over mere optimization, a principle that resonates with emerging challenges in robotics and biomedical engineering. Kwon’s work is particularly notable for bridging theoretical path planning with practical, obstacle-rich environments, offering a foundation for future innovations in adaptive navigation.