Jijoong Kim
Papers
2
Total Citations
34
H-Index
2
About
Jijoong Kim is a leading researcher in multirobot coordination and intelligent control systems, with a focus on enabling autonomous teams to navigate safely and efficiently in cluttered, unknown environments. His major contributions center on the development of interpretable fuzzy logic controllers (FLCs) that allow multiple mobile robots to achieve collision-free navigation and precise simultaneous arrival at target locations—a critical challenge in robotics. Kim’s most cited work, “Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment” (2021, 31 citations), introduces a novel method for constructing and training FLCs that are both transparent and effective, enhancing trust and usability in real-world applications. He further advanced the field with “Intelligent Multirobot Navigation and Arrival-Time Control Using a Scalable PSO-Optimized Hierarchical Controller” (2020), which leverages particle swarm optimization to create a scalable, hierarchical control framework for agents equipped with 2D scanning Lidar in urban settings. Kim’s work bridges theoretical rigor and practical deployment, offering robust solutions for search-and-rescue, warehouse automation, and autonomous exploration. His research continues to shape the future of decentralized robotic systems, making him a key figure in intelligent robotics.
Research Focus
Key Achievements
Top Papers
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- 2