Yooha Son
Papers
1
Total Citations
9
H-Index
1
About
Yooha Son is a robotics researcher whose work centers on precise localization and autonomous navigation for mobile robots, with a particular emphasis on ultra-wideband (UWB) technology. Her most significant contribution is a component-wise error correction method for UWB-based localization in target-following mobile robots, published in 2022. This work addresses a critical challenge in industrial robotics: achieving highly accurate and robust target tracking. By building on a least-square approximation framework, Son’s method systematically corrects distance errors from individual UWB anchors, dramatically improving the reliability of following robots in real-world environments. This paper has garnered 9 citations, reflecting its practical value for researchers and engineers developing autonomous systems in logistics, manufacturing, and service robotics. Son’s research bridges the gap between theoretical localization algorithms and deployable solutions, making her a notable voice in the field of mobile robot perception and control. Her work is particularly relevant for students and researchers exploring sensor fusion, error mitigation, and real-time tracking in dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1