Axing Xi

Papers

Total Citations

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About

Axing Xi is a researcher focused on advancing autonomous multi-robot systems, with a particular emphasis on unmanned air/ground vehicle (UAV/UGV) cooperation. Their work addresses a critical challenge in robotics: enabling heterogeneous platforms to collaborate effectively in complex, real-world environments. Xi’s major contributions lie in developing vision-based mapping and global path planning methods that allow a UAV to act as a “flying eye,” providing aerial situational awareness to guide a ground vehicle. This framework is applied to scenarios like search-and-rescue, where efficiency and reduced human risk are paramount. Their most cited paper (2020, 5 citations) introduces a mathematical approach to cooperative navigation, while a subsequent study (2019, 2 citations) refines target searching and path planning under aerial guidance. Though early in their career, Xi’s work is foundational for integrating perception and control in multi-agent systems, offering practical algorithms for autonomous coordination. This research holds promise for disaster response, surveillance, and logistics, positioning Xi as a rising contributor to the field of cooperative robotics.