Won Soo Yun
Papers
1
Total Citations
3
H-Index
1
About
Won Soo Yun is a pioneering researcher in mobile robotics, with a primary focus on autonomous navigation and sensor-based path planning in complex environments. His most-cited work, "Dynamic Path Planning for Robot Navigation Using Sonar Mapping and Neural Networks" (1997), introduced a novel algorithm that enables safe robot movement in both static and dynamic settings. By integrating the certainty grid concept for environmental representation and developing a streamlined sensor model for rapid data acquisition, Yun addressed critical challenges in real-time robot navigation. Though his citation count is modest—with his key paper garnering 3 citations—his contributions are foundational for researchers exploring the intersection of neural networks and sonar-based mapping. His work stands as an early effort to merge adaptive learning techniques with practical robotic systems, influencing subsequent studies in obstacle avoidance and dynamic path re-planning. Yun’s research remains relevant for students and engineers seeking to understand the evolution of autonomous navigation, particularly in applying computational intelligence to sensor-driven robotics.
Research Focus
Key Achievements
Top Papers
- 1