Hyein Jeong
Papers
1
Total Citations
8
H-Index
1
About
Hyein Jeong is a robotics researcher whose work focuses on advancing autonomous navigation in complex, real-world settings. Her primary research areas include LIDAR-based Simultaneous Localization and Mapping (SLAM), perception in dynamic environments, and mobile robotics. Jeong’s most notable contribution is a comprehensive comparative analysis of leading LIDAR SLAM frameworks—including Hector SLAM, GMapping, and Karto SLAM—specifically tested in environments cluttered with moving objects. This study, published in 2021 and garnering 8 citations, is critical for the field because it systematically evaluates how these algorithms degrade in the presence of dynamic obstacles, a common failure point in real-world deployments. By conducting extensive experiments with a mobile robot, Jeong provided actionable insights for selecting robust SLAM solutions for applications like autonomous delivery, warehouse logistics, and service robotics. Her work helps bridge the gap between controlled lab performance and the unpredictable nature of human-filled spaces, making her a key voice in the push toward truly reliable autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1