Daejung Shin
Papers
12
Total Citations
115
H-Index
5
About
Daejung Shin is a robotics researcher whose work sits at the intersection of bio-mimetic robotics, autonomous navigation, and environmental monitoring. His most significant contributions center on the design and deployment of fish robots — autonomous underwater vehicles modeled on aquatic locomotion — applied to real-world challenges such as water pollution monitoring and pipeline inspection. Shin pioneered the integration of ubiquitous sensor networks with sonar localization to enable these robots to autonomously map pollutant sources, replacing static monitoring stations with mobile, adaptive systems, a body of work that has garnered over 30 citations in a single publication alone. A recurring theme in his research is intelligent control: Shin has extensively explored fuzzy logic and fuzzy neural networks for obstacle recognition, collision avoidance, and distance estimation in fish robots, demonstrating practical solutions for navigating complex underwater environments. His work extended naturally into entertainment robotics, with the development of bio-mimetic dolphin robots capable of human interaction and sound-direction estimation. He also explored pipeline inspection using bio-mimetic platforms, broadening the industrial relevance of his designs. Collectively, his portfolio reflects a productive and creative research program that bridges biomimicry, sensor fusion, and autonomous systems engineering.
Research Focus
Key Achievements
Top Papers
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- 7Pipelines Monitoring System Using Bio-Mimetic Robots5 citations · 2009
- 8Fuzzy Distance Estimation for a Fish Robot4 citations · 2005
- 9Development of bio-mimetic entertainment dolphin robots4 citations · 2008
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