Jong-Hawn Kim
Papers
1
Total Citations
2
H-Index
1
About
Jong-Hawn Kim is a researcher in the field of robotics and bio-inspired locomotion, with a focus on developing adaptive walking patterns for bipedal and legged robots. His work centers on the use of evolutionary algorithms and central pattern generators (CPGs)—neural circuits that produce rhythmic motor outputs—to create robust, energy-efficient gait controllers. Kim’s most notable contribution, the "Walking Pattern Generator Using an Evolutionary Central Pattern Generator" (2010), introduces a novel method that combines CPGs with evolutionary optimization to automatically generate stable and natural walking motions without manual tuning. Although this paper has garnered 2 citations to date, its conceptual foundation has informed subsequent studies in adaptive robotics and neural control. Kim’s research bridges computational neuroscience and mechanical engineering, offering insights into how biological principles can enhance robotic mobility. His work is particularly relevant for students and researchers exploring autonomous locomotion, evolutionary robotics, and the integration of learning algorithms into physical systems.
Research Focus
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Top Papers
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