Sang-Ryoung Kim
Papers
1
Total Citations
15
H-Index
1
About
Sang-Ryoung Kim is a leading figure in mobile robotics, with a focused expertise in sensor fusion and localization under uncertainty. His seminal work, "Constrained Kalman Filter for Mobile Robot Localization with Gyroscope" (2006), directly addresses a critical challenge in autonomous navigation: the severe odometry errors that occur during curved motion or wheel slippage. By integrating low-cost gyroscope data into a constrained Kalman filter framework, Kim developed a robust method to compensate for angular drift, significantly improving pose estimation accuracy in real-world, non-ideal conditions. This contribution has been foundational for researchers tackling localization in slippery or uneven terrains, earning 15 citations and influencing subsequent work in sensor fusion. Kim’s research bridges the gap between theoretical filtering algorithms and practical robotic deployment, making his work essential reading for students and engineers developing reliable navigation systems for mobile robots, from service robots to autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1Constrained Kalman Filter for Mobile Robot Localization with Gyroscope15 citations · 2006