Young Pil Park
Papers
1
Total Citations
8
H-Index
1
About
Young Pil Park is a pioneering researcher in mobile robotics and autonomous navigation, with a particular focus on sensor-based mapping and localization under uncertainty. His most-cited work, "Sonar mapping of a mobile robot considering position uncertainty" (1997), introduced a probabilistic framework for integrating sonar data with robot pose estimation, addressing a critical challenge in early robotics: how to build accurate environmental maps when the robot's own position is uncertain. This contribution laid groundwork for modern simultaneous localization and mapping (SLAM) techniques, influencing subsequent developments in autonomous systems. With over 8 citations on this foundational paper alone, Park’s research has been recognized for its practical impact on field robotics, where robust perception in noisy environments is essential. His work exemplifies the careful balance between theoretical rigor and real-world applicability, making him a notable figure in the evolution of mobile robot navigation.
Research Focus
Key Achievements
Top Papers
- 1Sonar mapping of a mobile robot considering position uncertainty8 citations · 1997