Jungkil Park
Papers
3
Total Citations
7
H-Index
2
About
Jungkil Park is a robotics researcher whose work focuses on enhancing the autonomy and safety of mobile robots operating in challenging, real-world environments. His key research areas include object recognition, terrain analysis, and search and rescue robotics, with a particular emphasis on integrating depth and infrared sensing for robust perception. Park’s major contributions center on developing practical methods for robots to navigate and interact with their surroundings. Notably, he proposed an object recognition method for indoor mobile robots using depth information from an RGB-D camera, employing RANSAC to remove floor points and improve detection accuracy. He also introduced a tip-over detection technique based on a support inscribed circle, enabling robots to assess terrain stability and prevent accidents on uneven ground. In the domain of search and rescue, Park developed an infrared image-based human victim recognition system for dark environments, leveraging the infrared capabilities of a Microsoft Kinect to identify people in disaster scenarios. While his papers have accumulated modest citation counts, his work demonstrates a clear commitment to solving fundamental problems in mobile robotics, from safe locomotion to life-saving victim detection.
Research Focus
Key Achievements
Top Papers
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