Papers
1
Total Citations
33
H-Index
1
About
Osung Kwon is a robotics researcher whose work centers on motion planning and autonomous navigation in complex environments. His most cited contribution, the 2014 paper "A Selective Retraction-Based RRT Planner for Various Environments" (33 citations), introduces a novel randomized path planner for rigid robots that adapts to environments with varying characteristics. The key innovation lies in the "bridge line test," a method to identify narrow passage regions—traditionally the most challenging areas for path planning—and then selectively apply optimization-based retraction only where needed. This targeted approach significantly improves efficiency and success rates compared to uniform retraction methods. Kwon's work addresses a fundamental bottleneck in robotics: enabling robots to navigate tight spaces and cluttered settings reliably. By focusing computational resources on problematic regions, his planner achieves robust performance across diverse environments, from open spaces to corridors. This research has implications for autonomous vehicles, warehouse robots, and service robots operating in human-centric spaces. Kwon's contributions demonstrate a practical, problem-driven approach to robotics, making complex navigation more accessible and reliable for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1A Selective Retraction-Based RRT Planner for Various Environments33 citations · 2014