Gook-Hwan Kim
Papers
1
Total Citations
2
H-Index
1
About
Gook-Hwan Kim is a robotics researcher whose work focuses on intelligent robot navigation, sensor fusion, and path planning. His most cited paper, "Path Planning for an Intelligent Robot Using Flow Networks" (2011), introduces a novel approach that combines data from LRF and StarGazer sensors to enable cleaning robots to autonomously map environments and follow walls using laser displacement. This contribution addresses a fundamental challenge in mobile robotics: how to equip machines with reliable environmental awareness through multi-sensor integration. While his citation count remains modest at 2, Kim’s research is notable for its practical application in service robotics, particularly in household cleaning automation. His work on flow network-based path planning offers an alternative to traditional grid-based methods, emphasizing efficiency and real-time adaptability. Kim’s contributions are valuable for students and researchers interested in sensor fusion, autonomous navigation, and the development of intelligent systems that interact with dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1Path Planning for an Intelligent Robot Using Flow Networks2 citations · 2011