Jong-jin Yu
Papers
1
Total Citations
4
H-Index
1
About
Jong-jin Yu is a robotics researcher whose work centers on sensor fusion, simultaneous localization and mapping (SLAM), and mobile robot navigation. His most-cited paper, "A correction system of odometry error for simultaneous map building based on sensor fusion" (2008, 4 citations), introduces a SLAM system that integrates odometry with indoor GPS to achieve more accurate localization. By fusing relative and absolute sensor data, Yu developed a method that corrects cumulative odometry errors, enabling robust map building for autonomous mobile robots. This contribution addresses a fundamental challenge in robotics—maintaining positional accuracy in dynamic environments—and has informed subsequent work in sensor-based absolute positioning systems. While his citation count reflects a focused, early-career impact, Yu’s research is notable for its practical approach to real-world robot navigation, bridging the gap between theoretical SLAM algorithms and deployable sensor architectures. His work remains relevant for engineers and researchers developing cost-effective, sensor-driven solutions for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1