Papers
1
Total Citations
8
H-Index
1
About
Zixiang He is a rising researcher in autonomous multi-robot systems, with a primary focus on game-theoretic approaches to swarm intelligence and resource allocation. His most-cited work, "Research on Resource Allocation of Autonomous Swarm Robots Based on Game Theory" (2023, 8 citations), introduces a novel two-stage extended game framework that models interactions between resource-providing and resource-consuming robots in emergency scenarios. This contribution addresses a critical challenge in swarm robotics: optimizing decentralized resource distribution under dynamic constraints. By abstracting real-time allocation as a strategic game, He provides a scalable solution that enhances coordination efficiency without centralized control. Though early in his career, his work has already garnered attention for its practical implications in disaster response and autonomous logistics. He’s approach bridges theoretical game theory with applied robotics, offering a foundation for future studies on adaptive swarm behavior. As his citation count grows, He is establishing himself as a promising voice in the intersection of multi-agent systems and operational research, with potential to influence both academic frameworks and real-world autonomous deployments.
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Top Papers
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