By Topic

Emergent complex behaviors for swarm robotic systems by local rules

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Chatty, A. ; REGIM: Res. Group on Intell. Machine, Univ. of Sfax, Sfax, Tunisia ; Kallel, I. ; Gaussier, P. ; Alimi, A.M.

This paper describes a clustering process taking inspiration from the cemetery organization of ants. The goal of this paper is (i) to show the importance of the local interactions which allow to produces complex and emergent behavior. (ii) To propose a multi-robot systems in the field of clustering objects allowing optimization of: time of convergence, rate of occupation of the objects in the environment and final number of the clusters. And finally (iii) to propose another system with the use of cognitive robots instead of reactive robots in the same field of clustering objects with generic rules which can be used independently of the environment. Series of simulations enable us to discuss and validate the proposed approach.

Published in:

Robotic Intelligence In Informationally Structured Space (RiiSS), 2011 IEEE Workshop on

Date of Conference:

11-15 April 2011