Xuanke Zhong

Papers

Total Citations

H-Index

About

Xuanke Zhong is a rising researcher in the field of indoor positioning and localization, with a focus on cooperative and human-robot systems. Their work addresses the critical challenge of accurate location estimation in GNSS-denied indoor environments, where traditional satellite navigation fails. Zhong’s major contributions center on developing collaborative frameworks that leverage mobile robots as dynamic anchors to enhance localization accuracy. In their 2024 paper, "Enhanced indoor positioning through human-robot collaboration," they introduced novel methods for integrating human and robotic agents to improve positioning reliability, earning 5 citations. Their 2025 work, "Cooperative Indoor Localization Using Mobile Robot Anchors via Factor Graph Optimization," further advances the field by employing factor graph optimization to fuse data from multiple mobile robot anchors, achieving robust and scalable localization. With a total of 8 citations across these two highly relevant papers, Zhong is establishing a strong foundation in cooperative localization. Their research is particularly notable for bridging the gap between theoretical optimization techniques and practical robotic systems, offering promising solutions for real-world applications in smart buildings, autonomous navigation, and emergency response. As a young scholar, Zhong’s work is already shaping the next generation of indoor positioning technologies.