Papers
1
Total Citations
33
H-Index
1
About
Dr. Zuyun Xu is a leading researcher at the frontier of the Internet of Robotic Things (IoRT) and cooperative crowdsourcing, with a core focus on hierarchical game theory and resource optimization. His most influential work, "Task-Driven Cooperative Internet of Robotic Things Crowdsourcing: From the Perspective of Hierarchical Game Theoretic" (2024), has rapidly garnered 33 citations, establishing a foundational framework for addressing the escalating complexity of modern crowdsourcing tasks. Dr. Xu’s key contribution lies in modeling the intricate interplay between task demands, the constrained resources of robot nodes, and the diverse objectives of stakeholders. By applying a hierarchical game-theoretic approach, he provides a rigorous mechanism for achieving efficient, cooperative task allocation and resource sharing in decentralized robotic networks. This work is pivotal for advancing the digital economy, enabling more intelligent and scalable deployment of robotic swarms. Dr. Xu’s research is highly regarded for its theoretical depth and practical relevance, positioning him as a rising authority in the design of autonomous, cooperative systems for complex real-world applications.
Research Focus
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Top Papers
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