Joong Tae Park
Papers
1
Total Citations
4
H-Index
1
About
Joong Tae Park is a robotics researcher whose work centers on autonomous navigation and exploration in unknown environments. His most-cited paper, "Efficient Exploration for Room Finding Using Wall-Following based Path Planning" (2009, 4 citations), introduces a targeted exploration strategy that goes beyond simple environmental modeling. While many existing methods prioritized efficient mapping, Park’s contribution uniquely focuses on the practical task of locating a specific room within large, unknown spaces. By integrating wall-following behavior with path planning, his approach balances the need for comprehensive coverage with goal-directed search, offering a more efficient solution for real-world robotic applications. Though his citation count is modest, this work represents a thoughtful refinement of exploration algorithms, addressing a gap between general mapping and task-specific navigation. Park’s research is particularly relevant for mobile robots operating in unstructured indoor settings, such as search-and-rescue or domestic service robots, where finding a particular location quickly is critical. His work underscores the importance of designing exploration strategies that are not just efficient for mapping, but also intelligent for achieving specific objectives.
Research Focus
Key Achievements
Top Papers
- 1