期刊
NEURAL COMPUTING & APPLICATIONS
卷 19, 期 6, 页码 807-823出版社
SPRINGER LONDON LTD
DOI: 10.1007/s00521-010-0380-x
关键词
Swarm robotics; Self-organization; Collective decision; Local communication
资金
- Belgian F.R.S.-FNRS
- Spanish Ministerio de Educacion y Ciencia [ENE2007-66135]
- European Commission [FP7-ICT-223994-N4C]
In this paper, we propose a swarm intelligence localization strategy in which robots have to locate different resource areas in a bounded arena and forage between them. The robots have no knowledge of the arena dimensions and of the number of resource areas. The strategy is based on peer-to-peer local communication without the need for any central unit. Social Odometry leads to a self-organized path selection. We show how collective decisions lead the robots to choose the closest resource site from a central place. Results are presented with simulated and real robots.
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