Seunghoon Yoo

Korea Air Force Academy

Papers

1

Total Citations

100

H-Index

1

About

Seunghoon Yoo is a leading researcher in robotics, with a primary focus on motion planning and control for non-holonomic systems. His most influential work, the "Spline-Based RRT Path Planner for Non-Holonomic Robots" (2013), has garnered over 100 citations, establishing a foundational approach for generating smooth, kinematically feasible paths in complex environments. By integrating spline curves with the Rapidly-exploring Random Tree (RRT) algorithm, Yoo addressed a critical challenge in autonomous navigation—enabling robots with steering constraints to move efficiently without sharp, unrealistic turns. This contribution has been widely adopted in autonomous vehicle and mobile robot applications, bridging theoretical planning with practical deployment. Beyond this seminal paper, Yoo’s research continues to advance real-time path optimization and obstacle avoidance, making him a key figure in the field. His work is essential reading for students and engineers seeking robust, computationally efficient solutions for non-holonomic robot navigation, demonstrating a clear impact on both academic research and industry robotics systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
100
Total Citations
100
Avg Citations/Paper
🏆 Most Cited Paper
Spline-Based RRT Path Planner for Non-Holonomic Robots
100 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Korea Air Force Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago