Jae Hong Shim
Papers
2
Total Citations
6
H-Index
1
About
Jae Hong Shim is a robotics researcher whose work focuses on advancing autonomous navigation for unmanned ground and aerial vehicles, particularly in challenging environments like disaster response. His key research areas include visual localization, multi-robot map building, and sensor fusion for rescue robotics. Shim’s most notable contribution is a visual localization technique that enables a ground robot (UGV) to determine its position using map data captured by an aerial drone (UAV) equipped with an RGB-D camera. This approach leverages the complementary strengths of both platforms—the UGV’s endurance and payload capacity, and the UAV’s mobility and field of view—to create a robust cooperative navigation system. His work on 2.5D map building and map merging methods further supports rescue robot navigation by allowing multiple robots to combine partial environmental maps into a cohesive representation. While his citation counts are modest (5 and 1 for his top papers), Shim’s research addresses critical gaps in heterogeneous robot coordination, offering practical solutions for real-world deployment in search-and-rescue scenarios. His contributions are valuable for students and researchers interested in multi-robot systems, SLAM, and field robotics.
Research Focus
Key Achievements
Top Papers
- 1A Visual Localization Technique for Unmanned Ground and Aerial Robots5 citations · 2017
- 2