YeunBae Kim
Papers
1
Total Citations
3
H-Index
1
About
YeunBae Kim is a robotics researcher whose work focuses on improving the localization and navigation of mobile robots, particularly in low-cost, real-world environments. His most notable contribution addresses the critical challenge of odometry errors caused by wheel slippage in cleaning robots. By integrating a gyroscope with a constrained Kalman filter, Kim developed a robust localization method that compensates for these inaccuracies, enabling more reliable and efficient autonomous cleaning. This foundational work, published in 2006, has garnered 3 citations, reflecting its niche but practical impact on the field of mobile robotics. Kim's research is especially relevant to the development of affordable household robots, where sensor quality is limited but performance demands are high. His approach demonstrates a clever use of sensor fusion to overcome hardware constraints, a principle that continues to influence modern robot navigation systems. Through this work, Kim has contributed to making autonomous cleaning robots more dependable, helping to bridge the gap between laboratory precision and real-world utility.
Research Focus
Key Achievements
Top Papers
- 1