Chul Ung Kang

About

Chul Ung Kang is a researcher whose work bridges the frontiers of sensor technology and intelligent robotics. His primary contributions lie in the development of advanced fabrication techniques for chemical sensors and in the creation of novel mapping algorithms for autonomous systems. Kang’s most impactful work, the 2016 paper on fabricating ZnSnO₃-based humidity sensors using micro-nano scale transfer printing, has garnered 45 citations, demonstrating its significance in enabling the integration of sensitive materials onto arbitrary substrates for next-generation environmental monitoring. In the field of robotics, his 2005 paper on feature-based map building using sparse sonar data, with 23 citations, introduced a pioneering arc feature association model. This work allowed robots to construct meaningful environmental maps from limited sensor data, a critical advancement for navigation in complex, unstructured spaces. Through these contributions, Kang has demonstrated a unique ability to solve fundamental challenges in both materials science and robotic perception, making his research highly relevant for students and engineers working on smart sensors and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Fabrication of ZnSnO3 based humidity sensor onto arbitrary substrates by micro-Nano scale transfer printing

   45 citations · 2016
2. 2
   Feature based map building using sparse sonar data

   23 citations · 2005

Key Collaborators

Contact & Links