Byung Ryong Lee
Papers
8
Total Citations
166
H-Index
7
About
Byung Ryong Lee is a leading researcher in biomimetic underwater robotics, specializing in the design, dynamic modeling, and optimization of robotic fish. His work focuses on understanding and replicating the propulsion mechanisms of biological fish to create more efficient, agile, and silent underwater vehicles. Lee’s major contributions include pioneering the use of flexible folding pectoral fins to mimic the rowing motion of fish, which significantly enhances thrust generation and swimming speed. His highly cited 2019 paper on this topic (43 citations) demonstrates how simple mechanical folding can replicate the power and recovery stroke dynamics of real fish. He also advanced the field through detailed dynamic modeling of non-uniform flexible tails, showing how tail stiffness distribution affects thrust and swimming performance. Lee’s impact is evident from his cumulative citation count exceeding 160, with key works on optimizing propulsive velocity using a hybrid Genetic-Hill Climbing Algorithm. His research has led to smoother gait control and improved turning maneuvers via sliding mode controllers, making his robotic fish designs more practical for real-world applications in exploration, surveillance, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
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- 4Dynamic Modeling of a Non-Uniform Flexible Tail for a Robotic Fish22 citations · 2013
- 5Dynamic modeling and experiment of a fish robot with a flexible tail fin16 citations · 2013
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