Yoon-Gu Kim
Papers
1
Total Citations
2
H-Index
1
About
Yoon-Gu Kim is a robotics researcher whose work focuses on multi-robot systems, path planning, and formation control. His most cited paper, "Hybrid Path Planning of Multi-Robots for Path Deviation Prevention" (2013), introduces an innovative approach to maintaining precise robot formations during navigation. The method combines repulsive potential fields, the A* algorithm, and Unscented Kalman Filters (UKF) to prevent path deviations in multi-robot teams—a critical challenge in applications like warehouse automation and search-and-rescue operations. While his citation count is modest, this work demonstrates foundational contributions to hybrid path planning strategies that integrate reactive and deliberative control methods. Kim's research addresses the practical problem of keeping robots in formation while navigating dynamic environments, offering solutions that balance computational efficiency with real-time adaptability. His work sits at the intersection of robotics, control theory, and artificial intelligence, providing valuable insights for researchers developing coordinated multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1Hybrid Path Planning of Multi-Robots for Path Deviation Prevention2 citations · 2013