Papers
3
Total Citations
31
H-Index
3
About
Anqi Zhu is a rising researcher in the fields of distributed robotics, edge-cloud computing, and intelligent task offloading. Their work focuses on enabling quality-of-service (QoS)-aware collaboration among heterogeneous robotic systems, particularly in resource-constrained environments such as agriculture and IoT. Zhu’s major contributions include developing novel frameworks like CollOR, which addresses the challenge of jointly optimizing offloading and routing decisions for multi-robot teams, and SyRoC, a symbiotic architecture that integrates IoT, edge, and cloud resources to support diverse applications. They have also applied game-theoretic and multi-agent learning approaches to robotic offloading, ensuring efficient and adaptive decision-making in dynamic agricultural networks. Despite the recency of their publications, Zhu’s work has already garnered significant attention, with each of their top-cited papers accumulating 10–11 citations, signaling strong early impact. Their research is notable for bridging theoretical optimization with practical deployment, offering scalable solutions for real-world multi-robot coordination. Zhu’s contributions are particularly valuable for advancing autonomous systems in precision agriculture and smart infrastructure.
Research Focus
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