Papers
1
Total Citations
7
H-Index
1
About
Xuemei Hu is a researcher whose work lies at the intersection of multi-robot systems and complex network theory, with a particular focus on scalable communication and coordination strategies. Her most-cited paper, "Using complex network effects for communication decisions in large multi-robot teams," presented at the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), has garnered 7 citations and introduces a novel framework that leverages network topology to optimize information exchange in large-scale robotic swarms. This contribution addresses a critical bottleneck in multi-agent systems: how to maintain efficient, decentralized communication as team sizes grow. By applying complex network effects, Hu’s work enables robots to make smarter, localized decisions about when and with whom to communicate, reducing bandwidth and energy consumption while preserving coordination quality. Her research has implications for search-and-rescue missions, environmental monitoring, and autonomous exploration, where robust, scalable teamwork is essential. Though her citation count is modest, the conceptual foundation she laid continues to influence studies on network-aware communication protocols in robotics, marking her as a thoughtful contributor to the field of distributed autonomous systems.
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Top Papers
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