Changyoung Kim
Papers
2
Total Citations
19
H-Index
2
About
Changyoung Kim is a researcher focused on robotics and autonomous search theory, with a particular emphasis on optimizing mobile robot missions under sensing constraints. His major contributions center on the mathematical modeling of search problems where a robot must locate a stationary target that only intermittently emits short-duration signals—a scenario critical for applications like disaster response, environmental monitoring, or locating hidden transmitters. Kim introduced the concept of Expected Searching Time (EST) as a primary performance metric, providing a rigorous stochastic framework to predict how long a robot with a limited sensing range will take to detect such an elusive target. His 2011 paper on this topic, which has garnered 14 citations, lays the groundwork for understanding the trade-offs between robot speed, sensing radius, and signal frequency. A follow-up paper with 5 citations further refines the stochastic modeling. This work is notable for bridging probabilistic analysis and practical robotics, offering engineers a tool to design more efficient search-and-rescue or surveillance systems. Kim’s research is essential reading for students and researchers working on autonomous navigation, sensor-limited exploration, and decision-making under uncertainty.
Research Focus
Key Achievements
Top Papers
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- 2