Papers

17

Total Citations

174

H-Index

6

About

Ji-Wook Kwon is a leading researcher in multi-robot systems and swarm robotics, with a particular focus on formation control, cooperative navigation, and autonomous exploration. His most influential work, the 2012 paper on hierarchical formation control using vector field methods (94 citations), introduced a decentralized approach that enables wheeled mobile robots to maintain flexible formations without requiring complex motion planning—a foundational contribution to the field. Kwon has also advanced fault-tolerant robotics through his Multiple Leader Candidate (MLC) structure and Competitive Position Allocation (CPA) algorithm, which ensure robust formation control even when individual robots fail. His research extends to swarm intelligence, where he has developed mapping and path planning algorithms that operate solely on communication graphs, eliminating the need for absolute positioning. More recently, Kwon has applied his expertise to extreme environments, designing a UWB-based human-following system for polar-exploration robots that integrates obstacle and crevasse avoidance. With over 150 total citations and a consistent record of innovation in control theory, polynomial fuzzy modeling, and consensus-based obstacle avoidance, Kwon’s work bridges theoretical rigor and practical deployment, making him a key figure in the evolution of autonomous multi-robot systems.

Research Focus

Key Achievements

6
H-Index
17
Papers
174
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Hierarchical Formation Control Based on a Vector Field Method for Wheeled Mobile Robots
94 citations · 2012
📈 Most Prolific Year: 2009 (3 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Ajou University, Yonsei University, Korea Institute of Robot and Convergence

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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