Yongho Kim
Papers
3
Total Citations
14
H-Index
3
About
Yongho Kim is a researcher in autonomous multi-robot systems and cyber-physical systems (CPS), with a focus on adaptive goal-based and task-based models for dynamic environments. His work addresses the critical challenge of enabling robots to handle unexpected situations by updating their environmental models in real time, ensuring mission continuity. Kim’s proposed models, which integrate the HARMS framework and NuSMV model checking, allow multi-robot teams to analyze reachability to goals and adapt their behaviors collaboratively. His most-cited paper, “An Adaptive Goal-Based Model for Autonomous Multi-Robot Using HARMS and NuSMV” (2016, 6 citations), and its companion work (2015, 5 citations), lay foundational approaches for resilient autonomous systems. Additionally, Kim has contributed to humanoid robotics, developing an iterative learning system for ball interception in soccer-playing robots, a step toward more collaborative and skillful robotic teams. Though his citation counts are modest, his work represents early, practical steps in adaptive autonomy and multi-agent coordination. Kim’s research is particularly relevant for students and engineers interested in building flexible, intelligent robotic systems capable of operating in unpredictable real-world settings.
Research Focus
Key Achievements
Top Papers
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- 3Iterative learning system to intercept a ball for humanoid soccer player3 citations · 2015