Kwang Ryul Baek
Papers
1
Total Citations
23
H-Index
1
About
Kwang Ryul Baek is a researcher whose work centers on robotics, sensor systems, and signal processing, with a particular focus on the integration of advanced sensing technologies for autonomous and multi-robot systems. His most notable contribution, the 2010 paper "A multi-robot positioning system using a multi-code ultrasonic sensor network and a Kalman filter," demonstrates his expertise in developing intelligent positioning frameworks that enable multiple robots to localize themselves accurately within shared environments. This work combines ultrasonic sensor networks with Kalman filtering — a mathematical technique for estimating system states from noisy measurements — to achieve robust, real-time position tracking across robot teams. Garnering 23 citations, the research has proven a useful reference point for engineers and scientists working on indoor localization, swarm robotics, and sensor fusion. Baek's contributions reflect a broader commitment to bridging hardware-level sensing with sophisticated computational methods, addressing one of the fundamental challenges in robotics: reliable spatial awareness in complex, dynamic environments. His work remains relevant as multi-robot systems continue to expand into logistics, manufacturing, and exploration applications.
Research Focus
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Top Papers
- 1