Zhongyuan Feng
Papers
2
Total Citations
11
H-Index
2
About
Zhongyuan Feng is a rising researcher in swarm robotics, focusing on the intersection of game theory, information theory, and multi-agent systems. Their work addresses fundamental challenges in autonomous robot coordination, particularly in resource allocation and division of labor. Feng’s most cited paper, “Research on Resource Allocation of Autonomous Swarm Robots Based on Game Theory” (2023, 8 citations), introduces a novel two-stage extended game framework that categorizes robots as resource providers or consumers, optimizing allocation during emergency scenarios. This approach offers a mathematically rigorous solution to a critical bottleneck in swarm autonomy. Building on this, Feng’s 2024 work on “Division of Labor Decision and System Stability of Swarm Robots Based on Mutual Information” (3 citations) pioneers the use of mutual information within game-theoretic models to address stability issues arising from information asymmetry among robots. By treating information exchange as a strategic variable, Feng provides a framework for predicting and stabilizing emergent collective behaviors. Though early in their career, Feng’s integration of game theory with swarm intelligence signals a promising trajectory toward scalable, resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2