Papers
9
Total Citations
158
H-Index
7
About
Heesung Chae is a leading researcher in mobile robotics, specializing in localization, sensor fusion, and autonomous navigation for complex environments. His work focuses on integrating diverse sensing technologies—including RFID, vision systems, infrared (IR) landmarks, and DGPS/INS—to enable precise robot positioning and mapping. Chae’s most cited paper (57 citations) introduces a hybrid method combining RFID and vision for global and fine localization, a foundational contribution to robust robot navigation. His research on DGPS/INS sensor fusion using Extended Kalman Filters (EKF) (22 citations) addresses GPS-denied areas, advancing semi-outdoor navigation. Chae also pioneered wireless location sensing networks with IR landmarks (20 citations) and developed artificial landmark mapping via Grid SLAM (13 citations) for large-scale indoor environments. His work has direct applications in service robots operating in public spaces, such as museums or airports. By tackling the critical challenge of reliable localization—from sensor fusion to landmark-based mapping—Chae has shaped practical solutions for autonomous mobile robots, earning recognition for bridging theory and real-world deployment in semi-structured and large-scale settings.
Research Focus
Key Achievements
Top Papers
- 1Combination of RFID and Vision for Mobile Robot Localization57 citations · 2005
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- 7Mobile Robot Navigation Using RFID and Vision Sensor8 citations · 2007
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- 9Robot task control utilizing human-in-the-loop perception2 citations · 2008