Hyungrae Kim
Papers
1
Total Citations
2
H-Index
1
About
Hyungrae Kim is a robotics researcher whose work centers on advancing simultaneous localization and mapping (SLAM) for mobile robots, with a particular focus on integrating grid and topological mapping approaches. His most cited paper, "Increasing SLAM Performance by Integrating Grid and Topology Map" (2009), addresses a fundamental challenge in autonomous navigation: how robots can efficiently build and utilize environmental maps within limited memory. By proposing a hybrid framework that combines the detailed spatial representation of grid maps with the computational efficiency of topological maps, Kim contributed to improving both map accuracy and real-time performance in robotic systems. While his citation count remains modest, his work has helped lay groundwork for more robust SLAM implementations, particularly in environments where memory and processing constraints are critical. Kim's research reflects a practical, systems-oriented approach to mobile robotics, emphasizing the integration of complementary mapping strategies to enhance autonomous navigation capabilities. His contributions are relevant for researchers and students exploring efficient mapping solutions for resource-constrained robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1Increasing SLAM Performance by Integrating Grid and Topology Map2 citations · 2009