Sewoong Jun
Papers
7
Total Citations
43
H-Index
4
About
Dr. Sewoong Jun is a robotics researcher whose work centers on developing intelligent robotic systems for challenging real-world environments, particularly in disaster response, infrastructure maintenance, and automated manufacturing. His most impactful contribution is a novel fire detection device for robotic firefighting (16 citations), which enables robots to navigate complex indoor environments like offices and schools while rapidly identifying fires using thermal imaging. Dr. Jun has significantly advanced visual navigation and mapping for robots operating in degraded conditions, including a thermal stereo system that extends a disaster robot's visible range through heavy smoke (5 citations) and an artificial landmark system for vision-based SLAM in water pipe rehabilitation robots (8 citations). He also developed a mobile robot navigation method using Difference of Wavelet SIFT (8 citations) to overcome challenges like shadowing and slipping. Notably, Dr. Jun was part of Team SK²Y, the winning team of the Furniture Assembly AI–Robot Challenge 2021, demonstrating his expertise in combining AI with robotic manipulation for complex assembly tasks. His research on estimating gripping positions of fasteners from camera images (2 citations) further showcases his contributions to industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Novel fire detection device for robotic fire fighting16 citations · 2010
- 2
- 3Mobile Robot Navigation Using Difference of Wavelet SIFT8 citations · 2009
- 4Thermal Stereo System for Visible Range Extension of Disaster Robot5 citations · 2018
- 5
- 6
- 7Motion analysis for control of a 2-DOF horse riding robot2 citations · 2011