@inproceedings{55d2ae9648ef44468ac4a83af00f50f7,
title = "Alice in pheromone land: An experimental setup for the study of ant-like robots",
abstract = "The pheromone trail laying and trail following behaviors of ants have proved to be an efficient mechanism to optimize path selection in natural as well as in artificial networks. Despite this efficiency, this mechanism is under-used in collective robotics because of the chemical nature of pheromones. In this paper we present a new experimental setup which allows to investigate with real robots the properties of a robotics systems using such behaviors. To validate our setup, we present the results of an experiment in which a group of 5 robots has to select between two identical alternatives a path linking two different areas. Moreover, a set of computer simulations provides a more complete exploration of the properties of this system. At last, experimental and simulation results lead us to interesting prediction that will be testable in our setup.",
author = "Simon Garnier and Fabien T{\^a}che and Maud Combe and Anne Grimal and Guy Theraulaz",
year = "2007",
doi = "10.1109/SIS.2007.368024",
language = "English (US)",
isbn = "1424407087",
series = "Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007",
publisher = "IEEE Computer Society",
pages = "37--44",
booktitle = "Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007",
address = "United States",
note = "2007 IEEE Swarm Intelligence Symposium, SIS 2007, Part of the 2007 IEEE Symposium Series on Computational Intelligence, SSCI 2007 ; Conference date: 01-04-2007 Through 05-04-2007",
}