Evolutionary Swarm Robotics

  • Trianni V
ISSN: 1860949X
N/ACitations
Citations of this article
41Readers
Mendeley users who have this article in their library.

Abstract

We have argued that self-organising behaviours represent a viable solution for controlling a swarm robotic system, and that evolutionary robotics techniques are a valuable design tool. There are multiple reasons why self-organisation should be sought for. Among these, the properties of decentralisation, flexibility, robustness and emergence that pertain to self-organising systems and that are highly desirable for a swarm of autonomous robots (see Section 3.3). However, if everything seems to fit in nicely, the problems arise while trying to design a behaviour that can be considered self-organising. In fact, the features that determine the behaviour of a self-organising system are not explicitly coded anywhere, while the design of a control system requires exactly the definition of behavioural rules for each robot of the system. The design problem - treated in detail in Section 4.1-consists in filling the gap between the desired global behaviour of the robotic system and the individual rules that govern each single robot. © 2008 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Trianni, V. (2008). Evolutionary Swarm Robotics. Studies in Computational Intelligence (Vol. 108, pp. 171–172). Springer US. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-44449088511&partnerID=tZOtx3y1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free