Traffic in cooperative consensus behavior of swarm robots

Cheng-Feng Li, Zong-Chun Liu, Yantao Tian
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引用次数: 1

Abstract

The problem of traffic redundancy in the cooperative and consistent behavior of swarm robots system is studied in this paper. Based on the existing flocking model and distributed controller with local interaction, the optimum communication frequency of swarm system is obtained by using particle swarm optimization. To further reduce the traffic among individuals two different methods to design evaluation value of the swarm's state are adopted, and then the communication frequencies are different with varying evaluation value. Simulation results show that the reduction of redundant communications system does not affect the cooperative consensus of swarm and the proposed communication strategies are effective.
群体机器人合作共识行为下的交通
研究了群体机器人系统协同一致行为中的交通冗余问题。在已有的群集模型和具有局部交互的分布式控制器的基础上,采用粒子群算法获得了群系统的最优通信频率。为了进一步减少个体间的通信量,采用两种不同的方法来设计群体状态的评价值,然后根据不同的评价值来改变通信频率。仿真结果表明,冗余通信系统的减少不影响集群的合作共识,所提出的通信策略是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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