Jong-Koo Park
Papers
7
Total Citations
49
H-Index
5
About
Jong-Koo Park is a leading researcher in the field of mobile robotics, with a primary focus on multi-robot coordination, formation control, and autonomous navigation. His most influential work, "Virtual target tracking of mobile robot and its application to formation control" (17 citations), introduces a novel approach for maintaining stable formations among multiple robots, a critical challenge in cooperative robotics. Park has made significant contributions to localization and mapping, including a robust SLAM algorithm using hybrid map methods and a geomagnetic localization technique that leverages building-induced magnetic distortions for indoor position estimation. His research on time-synchronized multi-robot coverage algorithms addresses the complex problem of coordinating robot teams in unstructured environments, while his work on dynamic visual servoing enhances precision control for robot manipulators. Park's simulation-based evaluation methods for robotic components provide systematic testing frameworks that bridge the gap between theoretical design and practical implementation. With a consistent publication record spanning from 2011 to 2018, his work has accumulated over 49 citations, demonstrating sustained impact in the robotics community, particularly in the areas of formation control, SLAM, and multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3A formation and traction control design for multiple mobile robots7 citations · 2017
- 4
- 5Geomagnetic localization of mobile robot5 citations · 2017
- 6A robust SLAM algorithm using hybrid map approach5 citations · 2018
- 7A dynamic visual servoing of robot manipulator with eye-in-hand camera3 citations · 2018