Xiaoyan Qiu

Papers

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About

Xiaoyan Qiu is a researcher specializing in wireless sensor networks, mobile robotics, and localization technologies. Their most notable contribution lies in the development of RSSI-based (Received Signal Strength Indicator) localization algorithms designed to enhance positioning accuracy within wireless sensor networks, with particular application to the coordinated formation of multiple mobile robots. This work, published in 2010, addresses a fundamental challenge in autonomous robotics — enabling groups of robots to accurately determine their spatial positions relative to one another using wireless signal data, a critical capability for effective multi-robot coordination and swarm behaviors. By introducing optimization techniques to refine RSSI measurements, Qiu's research helped bridge the gap between raw wireless signal data and reliable, real-world positioning performance. With 5 citations, the work represents a foundational contribution to the intersection of wireless communications and robotics, appealing to researchers exploring cost-effective, infrastructure-light localization solutions. For students entering the fields of robot navigation, sensor fusion, or wireless network design, Qiu's research offers a practical and accessible framework for understanding how signal-based positioning can be leveraged in dynamic, multi-agent robotic environments.