The impact of different tasks on evolved robot morphologies

Matteo De Carlo, Eliseo Ferrante, Jacintha Ellers, Gerben Meynen, A. E. Eiben

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

Abstract

A well-established fact in biology is that the environmental conditions have a paramount impact on the evolved life forms. In this paper we investigate this in an evolutionary robot system where morphologies and controllers evolve together. We evolve robots for two tasks independently and simultaneously and compare the outcomes. The results show that the robots evolved for multiple tasks simultaneously developed new morphologies that were not present in the robots evolved for single tasks independently.

Original languageEnglish (US)
Title of host publicationGECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion
PublisherAssociation for Computing Machinery, Inc
Pages91-92
Number of pages2
ISBN (Electronic)9781450383516
DOIs
StatePublished - Jul 7 2021
Event2021 Genetic and Evolutionary Computation Conference, GECCO 2021 - Virtual, Online, France
Duration: Jul 10 2021Jul 14 2021

Publication series

NameGECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion

Conference

Conference2021 Genetic and Evolutionary Computation Conference, GECCO 2021
Country/TerritoryFrance
CityVirtual, Online
Period7/10/217/14/21

Keywords

  • evolutionary robotics
  • morphological evolution
  • multi-objective optimization
  • robotic skills

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Computational Theory and Mathematics

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