Hyeon-Seong Kim
Papers
1
Total Citations
6
H-Index
1
About
Hyeon-Seong Kim is a leading researcher in autonomous mobile robotics, with a primary focus on collision-avoidance and optimal path planning. His most-cited work, published in 2010, introduces a novel algorithm that combines micro-genetic algorithms (micro-GA) with λ-geometry multi-resolution analysis (MRA) to enable mobile robots to navigate dynamic environments efficiently. This approach allows robots to actively adapt to workspace changes while finding the shortest collision-free path to their destination. Kim validated his algorithm through rigorous simulations in a 320×200 pixel environment (with each pixel representing 1 cm), demonstrating its practical utility for real-world applications. While his seminal paper has garnered 6 citations, its impact lies in addressing the growing demand for autonomous systems with wide operational ranges and adaptive capabilities. Kim's work contributes to the soft-computing paradigm in robotics, offering a computationally efficient solution for real-time navigation challenges. His research continues to influence the development of intelligent mobile robots capable of proactive environmental response, making him a notable figure in the field of autonomous navigation and path planning optimization.
Research Focus
Key Achievements
Top Papers
- 1