首页 /研究 /Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions
SWARM

Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions

Daniela Kengyel, Payam Zahadat, Thomas Kunzfeld, Thomas Schmickl

发表年份
2016
引用次数
7
访问权限
开放获取

摘要

In this paper a honeybee inspired collective-decision-making algorithm called BEECLUST is studied in a swarm of autonomous robots and the performance of the swarm is investigated in different conditions. The algorithm has low requirements thus it is promising for implementation in robots with low r

关键词

Swarm behaviourSwarm roboticsRobotAnt roboticsComputer scienceSwarm intelligenceAlgorithmArtificial intelligenceMobile robotParticle swarm optimization

相关论文

查看 SWARM 分类全部论文