Sung sub Park
Papers
1
Total Citations
4
H-Index
1
About
Sungsub Park is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and simultaneous localization and mapping (SLAM) for mobile robots. His key contribution lies in developing robust methods for correcting odometry errors through the integration of relative and absolute sensors, as demonstrated in his highly cited 2008 paper, "A Correction System of Odometry Error for Simultaneous Map Building Based on Sensor Fusion." This work introduced a novel approach that fuses odometry data with indoor GPS to achieve precise absolute position tracking, significantly improving the accuracy and reliability of map-building systems. With over 4 citations, this foundational study has influenced subsequent research in sensor-based localization for autonomous platforms. Park’s work addresses a critical challenge in robotics—reducing cumulative drift in dead-reckoning systems—making his contributions valuable for applications ranging from warehouse automation to service robots. His research continues to impact the development of more dependable, real-world navigation systems for mobile robots operating in GPS-denied environments.
Research Focus
Key Achievements
Top Papers
- 1