Sungwon Hwang

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Sungwon Hwang is a robotics researcher specializing in autonomous navigation and bio-inspired locomotion systems. His primary research areas include 3D scan matching for mobile robot pose estimation, sensor fusion for odometry correction, and underground robotic locomotion mechanisms. Hwang’s most impactful contribution is his 2020 work on the Normal Distributions Transform (NDT) for real-time 3D scan matching, which demonstrates robust pose correction for mobile robots operating under large odometry uncertainties. By integrating an Extended Kalman Filter with IMU and wheel odometry data, his framework significantly improves localization accuracy in challenging environments—a critical advancement for autonomous systems in GPS-denied or unstructured settings. This paper has garnered 24 citations, reflecting its relevance to the robotics community. Earlier in his career, Hwang contributed to bio-inspired engineering with a 2013 study on burrowing mechanisms for underground locomotion control, presented at the International Symposium on Automation and Robotics in Construction (ISARC). This work explores nature-inspired designs for subterranean exploration, highlighting his versatility in addressing both above-ground and underground robotic challenges. Hwang’s research bridges theoretical sensor fusion with practical robotic applications, making his work valuable for students and engineers developing resilient autonomous systems.