On-line Evolution of Foraging Behaviour in a Population of Real Robots

J.V. Heinerman, A. Zonta, E.W. Haasdijk, A.E. Eiben

Research output: Contribution to JournalArticleAcademicpeer-review


This paper describes a study in evolutionary robotics conducted completely in hardware without using simulations. The experiments employ on-line evolution, where robot controllers evolve on-the-fly in the robots’ environment as the robots perform their tasks. The main issue we consider is the feasibility of tackling a non-trivial task in a realistic timeframe. In particular, we investigate whether a population of six robots can evolve foraging behaviour in one hour. The experiments demonstrate that this is possible and they also shed light on some of the important features of our evolutionary system. Further to the specific results we also advocate the system itself. It provides an example of a replicable and affordable experimental set-up for other researches to engage in research into on-line evolution in a population of real robots.
Original languageEnglish
Pages (from-to)198-212
JournalLecture Notes in Computer Science
Issue number9598
Publication statusPublished - 2016
EventEvoApplications - Porto
Duration: 30 Apr 20161 May 2016

Bibliographical note

Proceedings title: Applications of Evolutionary Computation
Publisher: Springer
Place of publication: Porto
ISBN: 978-3-319-31152-4
Editors: G. Squillero, P. Burelli


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