Hyun-Hong Min
Papers
2
Total Citations
8
H-Index
2
About
Hyun-Hong Min’s research focuses on advancing autonomous robotics, particularly in the areas of multi-robot cooperation, navigation in uneven environments, and visual tracking. His work addresses critical challenges in enabling robots to perceive, track, and physically collaborate with one another in complex, unstructured settings. A key contribution is his development of a fuzzy tracking control system that uses stereo vision and codebook models to enable a moving robot to recognize and follow another robot, estimating real-world distances through depth imagery. This approach enhances cooperative task execution among robotic teams. In parallel, Min has pioneered navigation algorithms for modular robots equipped with 3-DOF docking arms, allowing them to physically couple and traverse uneven terrain—a significant step toward overcoming mobility limitations in unknown environments. His system integrates indoor GPS for real-time localization and path control, facilitating robust physical docking between modules. Though his most-cited papers have garnered modest citation counts (4 each), their technical depth and practical relevance underscore his contributions to modular and cooperative robotics. Min’s work remains valuable for researchers exploring vision-based control and physical collaboration in field robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2