Liyuan Xu

University of Science and Technology Beijing

Papers

Total Citations

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About

Liyuan Xu’s research centers on localization technology for swarm robotic systems, with a particular focus on the challenges posed by near-ground environments. In their most-cited work, “CRLB for TOA Based Near-Ground Swarm Robotic Localization” (2015), Xu derived the Cramér-Rao Lower Bound (CRLB) for time-of-arrival (TOA) based localization, addressing how ground reflections critically impact accuracy in swarm robotics. This contribution provides a foundational theoretical framework for optimizing sensor placement and communication in ground-effect scenarios, directly supporting task allocation and coordination in multi-robot teams. While the paper has garnered 3 citations, its significance lies in addressing a niche but vital problem—enhancing localization precision where traditional models fail. Xu’s work bridges theoretical bounds with practical deployment, offering essential guidance for engineers designing resilient swarm systems. By quantifying fundamental accuracy limits, Xu enables more robust localization in applications ranging from agricultural drones to disaster response swarms. This research underscores Xu’s dedication to advancing the reliability of autonomous robotic networks in complex, real-world conditions.