Papers
10
Total Citations
121
H-Index
5
About
KwangWoong Yang is a pioneering robotics researcher whose work spans mobile robot localization, human-robot interaction, and sensor fusion systems. His most impactful contribution is the development of robust Kalman filter localization methods for mobile robots, where he introduced a perturbation estimator that dramatically improves navigation accuracy even when odometric errors are large—a breakthrough cited over 33 times. Yang’s sensor fusion localization system for outdoor robots, which merges camera-based particle filters with dual GPS Kalman filters, has garnered 27 citations and remains influential for autonomous navigation in complex environments. He also made notable strides in social robotics as a key developer of EveR-2, an android designed for emotional expression and human interaction, earning 20 citations. Beyond these, Yang has advanced inertial navigation systems for GPS-denied environments, flexible docking mechanisms for auto-recharging, and standard software interfaces for reusable robot control. With a career spanning from 2005 to 2012, his work has accumulated over 100 citations, demonstrating lasting impact on both industrial robotics and humanoid platforms. Yang’s research continues to inform modern approaches to robust, adaptive robot autonomy.
Research Focus
Key Achievements
Top Papers
- 1An Effective Kalman Filter Localization Method for Mobile Robots33 citations · 2006
- 2Sensor fusion localization system for outdoor mobile robot27 citations · 2009
- 3Development of an Android for Emotional Expression and Human Interaction20 citations · 2008
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- 8Indoor localization using laser scanner and vision marker for intelligent robot3 citations · 2012
- 9Development of SEROPI as a wheel-based humanoid robot3 citations · 2008
- 10Software architecture of human-like robot3 citations · 2009