Hyunjin Park
Papers
7
Total Citations
31
H-Index
4
About
Hyunjin Park is a robotics researcher whose work sits at the intersection of autonomous navigation, semantic reasoning, and multi-robot systems. Park's research addresses one of the field's most persistent challenges: enabling robots to operate intelligently in complex, dynamic, and unpredictable real-world environments. A central contribution is the development of a flexible semantic ontological model framework, which equips robots with the ability to understand their surroundings beyond raw metric data — allowing for richer, context-aware task planning in large-scale environments. Building on this foundation, Park extended semantic knowledge principles to multi-robot coordination, proposing hierarchical planning approaches that simultaneously manage robot movement and inter-agent dependencies. A significant applied thread in Park's work focuses on disinfection robotics, producing multiple contributions including active SLAM-based navigation, UV sensor coverage algorithms, and wall-following techniques — a timely body of work with clear public health relevance. Park has also advanced indoor localization using LiDAR-based semantic feature extraction and developed rescue robot frameworks for industrial disaster scenarios. With over 30 cumulative citations across publications from 2022–2023, Park represents an emerging voice in service and field robotics, consistently bridging theoretical modeling with practical deployment.
Research Focus
Key Achievements
Top Papers
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- 3Autonomous Navigation with Active SLAM for Disinfecting Robot4 citations · 2022
- 4
- 5Wall following navigation algorithm for a disinfecting robot3 citations · 2022
- 6
- 7A Mobile Robot Framework in Industrial Disaster for Human Rescue2 citations · 2022