Seung Kyoon Kang
Papers
1
Total Citations
9
H-Index
1
About
Seung Kyoon Kang is a robotics researcher whose work focuses on practical, cost-effective localization systems for autonomous guide robots. His key research areas include non-inertial sensor fusion, outdoor robot navigation, and real-world deployment of assistive robotics. Kang’s major contribution is the development of a localization method that relies solely on wheel encoder data combined with non-inertial sensors like GPS and digital compasses, eliminating the need for expensive inertial measurement units. This approach solves the critical problem of cumulative error in long-range outdoor navigation, making guide robots more economical and reliable for everyday use. His most-cited paper, "Non-Inertial Sensor-Based Outdoor Localization for Practical Application of Guide Robots" (2017), has garnered 9 citations and demonstrates a clear path from theoretical sensor fusion to practical application. By prioritizing ease of use and affordability without sacrificing accuracy, Kang’s work directly addresses the barriers to widespread adoption of autonomous guide robots in public spaces, such as campuses and hospitals. His research stands out for its pragmatic engineering focus, bridging the gap between laboratory prototypes and real-world assistive technology.
Research Focus
Key Achievements
Top Papers
- 1