Jong Chai Park
Papers
1
Total Citations
12
H-Index
1
About
Jong Chai Park is a robotics researcher whose work centers on autonomous navigation, localization, and path planning for mobile robots operating under uncertainty. His most-cited paper, “Path Planning between Two Points for a Robot Experiencing Localization Error in Known and Unknown Environments” (2018, 12 citations), tackles a fundamental challenge in robotics: how to guide a robot from one point to another when its dead-reckoning sensors accumulate error over time. Park’s approach integrates simultaneous localization and mapping (SLAM) to compensate for this drift, enabling more reliable navigation in both known and unknown settings. This contribution is especially valuable for real-world applications where sensor noise and environmental unpredictability are unavoidable. While his citation count reflects a focused, emerging impact, Park’s work addresses a core problem in mobile robotics—bridging the gap between theoretical path planning and practical, error-prone execution. His research is particularly relevant for students and engineers developing autonomous systems for exploration, logistics, or service robotics, where robust navigation under uncertainty is critical.
Research Focus
Key Achievements
Top Papers
- 1