Taewon Kang
Papers
1
Total Citations
14
H-Index
1
About
Taewon Kang is a researcher whose work centers on mobile robotics, with a particular focus on autonomous navigation and environmental perception. His key contributions lie in developing robust path-planning algorithms that enable robots to operate safely in complex, real-world settings. Kang’s most cited paper, "Mobile Robot Path Planning Using a Laser Range Finder for Environments with Transparent Obstacles" (2020), addresses a critical challenge in robotics: how to navigate spaces containing glass or other transparent barriers that confound standard laser sensors. By integrating laser range finder data with advanced mapping techniques, his work provides a practical solution for generating accurate environment maps and planning collision-free paths, even in visually deceptive environments. This research has garnered 14 citations, reflecting its relevance to engineers and scientists tackling real-world deployment issues. Kang’s achievements demonstrate a keen ability to bridge the gap between theoretical path planning and sensor-driven application, making his work essential reading for students and researchers interested in autonomous systems, sensor fusion, and the practical hurdles of mobile robot navigation.
Research Focus
Key Achievements
Top Papers
- 1