Sewoong Jun

Korea Electronics Technology Institute

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

4
H-Index
7
Papers
43
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Novel fire detection device for robotic fire fighting
16 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Korea Electronics Technology Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago