Search for items in this repository.
Collective decision-making based on social odometry
Gutierrez Martín, Álvaro and Campo, Alexandre and Monasterio-Huelin Maciá, Felix and Magdalena, Luis and Dorigo, Marco
Collective decision-making based on social odometry.
"Neural Computing and Applications", v. 19
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.
|FP7||223994||N4C||Unspecified||Networking for Communications Challenged Communities: Architecture, Test Beds and Innovative Alliances|
Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
Check whether the spanish journal in which you have published an article allows you to also publish it under open access.