Papers
1
Total Citations
19
H-Index
1
About
Dr. Kim Sung Woo is a leading researcher in humanoid robotics, with a primary focus on real-time safety and collision avoidance systems. His most cited work, "Collision detection system for the practical use of the humanoid robot" (2015, 19 citations), introduces an efficient approach leveraging the Separating Axis Theorem (SAT) for Oriented Bounded Boxes (OBB). By constructing tight-fitting OBBs based on 3D-CAD models and employing OBB trees, Dr. Kim’s method enables rapid, accurate collision detection essential for safe human-robot interaction. This contribution addresses a critical bottleneck in deploying humanoid robots in dynamic, unstructured environments. Beyond this landmark paper, Dr. Kim’s research advances the practical viability of humanoid platforms, bridging the gap between theoretical control and real-world application. His work is widely cited by engineers developing robust, collision-aware systems for assistive and industrial robotics. Dr. Kim’s achievements underscore his commitment to making humanoid robots safer and more reliable, a cornerstone for their integration into everyday human spaces.
Research Focus
Key Achievements
Top Papers
- 1Collision detection system for the practical use of the humanoid robot19 citations · 2015