Sang Woo Kim
Papers
5
Total Citations
75
H-Index
5
About
Sang Woo Kim is a robotics researcher whose work spans mobile robot navigation, fault diagnosis, and localization systems. His most impactful contribution is a laser vision system for pipeline-inspection robots, which uses weaving 2-D laser scanners to recognize T-junctions and elbow pipes, preventing robots from becoming stuck (32 citations). This work addresses a critical challenge in confined-space robotics. Kim has also advanced industrial automation with a current-only fault diagnosis method for robot control cables, leveraging deep learning and novelty detection to handle imbalanced fault datasets (18 citations). His research extends to bipedal locomotion, where he developed trajectory generation schemes for stair climbing using the uDEAS algorithm (12 citations), and to multi-cell localization, proposing an observability-based criterion for anchor node selection to expand mobile robot coverage (8 citations). Additionally, his work on chirp spread spectrum ranging for IEEE 802.15.4a has contributed to wireless localization for mobile nodes (5 citations). With a portfolio that combines practical navigation solutions, diagnostic intelligence, and localization theory, Kim’s research demonstrates a consistent focus on enabling robots to operate reliably in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Localization for a Mobile Node Based on Chrip Spread Spectrum Ranging5 citations · 2010