Papers
15
Total Citations
206
H-Index
10
About
Jae-Uk Shin is a robotics researcher whose work spans wall-climbing robots, autonomous marine systems, multi-agent path planning, and adaptive robot intelligence. He is perhaps best known for pioneering the development of Micro Aerial Vehicle (MAV)-type wall-climbing robots capable of inspecting tall structures and wind turbine blades — challenging environments where human access is dangerous and costly. His foundational 2013 paper on this mechanism has garnered 30 citations, with follow-up work on non-flat surface inspection accumulating an additional 28. Shin also led significant contributions to marine robotics through the JEROS (Jellyfish Removal Robot System) project, developing autonomous unmanned surface vehicles to combat jellyfish blooms threatening ecosystems and coastal industries — work represented across multiple cited publications totaling over 30 citations collectively. His research extended into underground exploration with a bio-inspired mole-like drilling robot for harsh environments, and more recently into intelligent decision-making, proposing a novel fusion of meta-reinforcement learning and model predictive control for mobile robots navigating dynamic environments. Across his career, Shin has consistently tackled real-world engineering challenges where conventional human-operated solutions fall short, establishing himself as a versatile and impactful figure in field robotics.
Research Focus
Key Achievements
Top Papers
- 1Micro aerial vehicle type wall-climbing robot mechanism30 citations · 2013
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- 7Development of a Mole-Like Drilling Robot System for Shallow Drilling13 citations · 2018
- 8JEROS: Jellyfish Removal Robot System11 citations · 2012
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- 10Experimental Tests of Autonomous Jellyfish Removal Robot System JEROS10 citations · 2013