Papers
30
Total Citations
422
H-Index
12
About
Yoongu Kim is a robotics researcher whose work spans multi-robot systems, mobile robot navigation, and disaster-response robotics. His research has made significant contributions to how autonomous robots perceive, move through, and cooperate within complex real-world environments. Among his most influential contributions is his work on multi-robot formation control and collision avoidance. His switching formation strategy for obstacle avoidance using a robot priority model (2014, 61 citations) and his decentralized cooperative mean approach to collision avoidance (2015, 27 citations) have helped establish robust frameworks for coordinating multiple robots safely and efficiently. His symmetric caging formation method for transporting convex polygonal objects using fuzzy sliding mode control (2015, 40 citations) further demonstrates his ability to bridge theoretical control design with practical manipulation tasks. Kim has also made notable strides in disaster robotics. His portable fire evacuation guide robot (2009, 52 citations) showcased early innovation in deployable emergency systems, while his wheel-track hybrid robot platforms (2010–2012) addressed terrain adaptability in urban and hazardous settings. Additional work on pipe-cleaning robots and indoor localization rounds out a diverse portfolio that consistently prioritizes real-world applicability. With over 300 cumulative citations, Kim's research continues to influence both academic robotics and practical autonomous systems design.
Research Focus
Key Achievements
Top Papers
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- 2Portable fire evacuation guide robot system52 citations · 2009
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