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Collective decision-making based on social odometry

2010; Springer Science+Business Media; Volume: 19; Issue: 6 Linguagem: Inglês

10.1007/s00521-010-0380-x

1433-3058

Álvaro Gutiérrez, Alexandre Campo, Félix Monasterio-Huelin, Luis Magdalena, Marco Dorigo,

Mobile Crowdsensing and Crowdsourcing

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.