Hyoung-Rae Kim
Papers
1
Total Citations
4
H-Index
1
About
Hyoung-Rae Kim is a researcher specializing in sensor fusion, human-robot interaction, and mobile robotics, with a focus on enabling autonomous systems to track and follow humans in dynamic environments. His major contribution lies in developing a sensor fusion-based human tracking method that integrates data from multiple sensors—such as laser rangefinders and cameras—using a particle filter and data mapping analysis. This approach effectively compensates for individual sensor limitations, allowing mobile robots to maintain a safe, adaptive distance from a person during interaction. Although his most-cited work, published in 2013, has garnered 4 citations, it addresses a foundational challenge in human-robot interaction: robust, real-time tracking across indoor and outdoor settings. Kim’s research has practical implications for service robots, assistive technologies, and autonomous navigation systems, where reliable person-following is critical. By bridging sensor data with probabilistic filtering, his work contributes to safer and more intuitive human-robot collaboration, offering a stepping stone for future advancements in socially aware robotics.
Research Focus
Key Achievements
Top Papers
- 1