Alice in pheromone land: An experimental setup for the study of ant-like robots

Simon Garnier, Fabien Tâche, Maud Combe, Anne Grimal, Guy Theraulaz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

72 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007
Pages37-44
Number of pages8
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE Swarm Intelligence Symposium, SIS 2007 - Honolulu, HI, United States
Duration: Apr 1 2007Apr 5 2007

Publication series

NameProceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007

Other

Other2007 IEEE Swarm Intelligence Symposium, SIS 2007
CountryUnited States
CityHonolulu, HI
Period4/1/074/5/07

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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