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
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002