Dong Bin Shin
Papers
2
Total Citations
8
H-Index
2
About
Dong Bin Shin is a robotics researcher whose work focuses on the intersection of disaster response robotics and assistive gait technologies. His research addresses critical challenges in both autonomous vehicle design and human-robot interaction for mobility assistance. In his 2018 study on armored robot body design for complex disaster environments, Shin tackled the engineering demands of creating robust, mobile platforms capable of navigating hazardous terrains—work that has garnered 6 citations and laid groundwork for practical disaster robotics. More recently, his 2020 paper on locomotion mode detection for hip gait assist robots introduced a novel algorithm using Radial Basis Function Support Vector Machines (RBF-SVM) to automatically distinguish between level walking, stair ascent, and stair descent. This contribution directly addresses a key limitation in universal hip assist devices: their inability to adapt to changing terrain without explicit user input. By developing a machine learning approach to seamless mode transitions, Shin’s work enhances both safety and usability for individuals requiring gait support. His research demonstrates a dual commitment to rugged robotic platforms for extreme environments and intelligent, responsive assistive devices for everyday mobility challenges.
Research Focus
Key Achievements
Top Papers
- 1Vehicle Body Design of Armored Robot for Complex Disaster6 citations · 2018
- 2