Papers
1
Total Citations
3
H-Index
1
About
Kui Pan is a robotics researcher whose work centers on indoor mobile robot localization and sensor fusion. Their most cited paper, “Ultrasound/DR Integrated Localization and Pose Tracking for an Indoor Mobile Robot” (2015), introduces a novel system that combines ultrasonic measurements with dead-reckoning (DR) to achieve precise position and orientation tracking. By integrating two ultrasonic transmitter nodes with receiver nodes and developing specialized signal processing algorithms, Pan addresses key challenges in indoor environments where GPS is unavailable. This work demonstrates practical solutions for real-time robot navigation, contributing to the broader field of autonomous systems. While their citation count is modest, the research holds significance for applications in warehouse automation, service robotics, and industrial inspection. Pan’s approach highlights the value of low-cost sensor fusion in overcoming drift and accuracy limitations inherent to DR alone. Their contributions offer a foundation for further exploration into robust, infrastructure-light localization methods, making their work a useful reference for researchers developing cost-effective indoor navigation systems for mobile robots.
Research Focus
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Top Papers
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