Changboon Low
Papers
1
Total Citations
7
H-Index
1
About
Changboon Low is a robotics researcher whose work centers on the precise positioning and navigation of mobile robots, particularly for outdoor automation and real-time control. His most-cited paper, "Accurate positioning for real-time control purpose integration of GPS, NAV200 and encoder data" (2005, 7 citations), addresses a critical challenge in autonomous systems: achieving reliable, high-accuracy localization for coordinated fleets of robots. Low’s major contribution lies in developing sensor fusion techniques that integrate GPS, laser-based NAV200, and encoder data to overcome the limitations of individual positioning systems. This approach enables robust, centimeter-level accuracy essential for real-time control in dynamic outdoor environments. By proposing a common positioning framework for multiple vehicles, his work directly supports the scalability and coordination needed for industrial automation and logistics. Though his citation count is modest, the practical significance of his research—bridging theoretical positioning methods with real-world deployment—makes it a foundational reference for engineers working on autonomous ground vehicles and multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1