Dong Hun Kim
The University of Tokyo, Kyungnam University, Boston University
Papers
27
Total Citations
359
H-Index
9
About
Dong Hun Kim is a leading researcher in swarm robotics and autonomous navigation, whose work has fundamentally advanced the decentralized control and path planning of multi-agent systems. His most influential contribution, the 2006 paper on "Decentralized Control of Autonomous Swarm Systems Using Artificial Potential Functions," has garnered 128 citations and established a foundational framework for self-organizing robot swarms. Kim's research focuses on solving critical challenges in local path planning, particularly the local minimum problem that plagues traditional potential field methods. He introduced innovative solutions including the "Escaping route method" (28 citations) and novel grid-based potential approaches (24 citations), which are designed for real-world sensor integration. His work on repulsive potential functions with angle distributions (21 citations) provides more sophisticated obstacle avoidance by varying force magnitudes based on goal direction. Beyond path planning, Kim has explored shape formation in swarm simulation and dynamic control of wheeled inverted pendulums, demonstrating versatility across robotics domains. His tangible interface research using iPhone accelerometers for mobile robot control showcases his commitment to practical, user-friendly robotic systems. With a career spanning two decades, Kim's analytical design guidelines continue to influence both academic research and real-world autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Escaping route method for a trap situation in local path planning28 citations · 2009
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- 6Potential-function-based shape formation in swarm simulation15 citations · 2014
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- 10Control of a Mobile Robot Based on a Tangible Interface using iPhone9 citations · 2011