Kyoo Jae Shin
Papers
10
Total Citations
52
H-Index
5
About
Kyoo Jae Shin is a robotics researcher whose work centers on bio-mimetic underwater robotics, autonomous control systems, and human-robot interaction. He is perhaps best known for his sustained development of robotic fish systems designed for aquarium environments, where his contributions span nearly a decade of refinement — from early autonomous bio-mimetic fish designs (2014–2015) to sophisticated interaction frameworks that respond to human hand gestures via image processing. His most cited work (13 citations) introduced an optical flow object-detecting algorithm for precise two-axis trajectory control of swimming robot fish, a technically demanding challenge given the unpredictability of underwater movement. Shin has consistently advanced computer vision techniques — including color segmentation and lead-lag swimming algorithms — to prevent inter-robot collisions and enable coordinated multi-fish control. His research extends beyond aquatic robotics; his 2023 work on self-balancing electric motorbike robots using control moment gyroscopes demonstrates a broader expertise in dynamic stabilization systems. Collectively, his publications reflect a career dedicated to bridging biomimicry, embedded control, and real-world robotic deployment, making his body of work particularly valuable for students exploring applied robotics, autonomous systems, and bio-inspired engineering design.
Research Focus
Key Achievements
Top Papers
- 1Robot Fish Tracking Control using an Optical Flow Object-detecting Algorithm13 citations · 2016
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- 5Development of Autonomous Bio-Mimetic Ornamental Aquarium Fish Robotic5 citations · 2015
- 6Lead-lag Swimming Control of Robot Fish Using Color Detection Algorithm4 citations · 2020
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