Insights in evolutionary exploration of robot morphology spaces

Karine Miras, Arwin Gansekoele, Kyrre Glette, A. E. Eiben

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In a recent study we have encountered an unexpected result regarding the evolutionary exploration of robot morphology spaces. Specifically, we found that an algorithm driven by selection based on morphological novelty exploredfewerspots in the space of morphologies than another algorithm based on a combination of morphological novelty and some behavioral criterion (speed of movement). Here we revisit these results, perform new analyses, and obtain new insights. These insights clarify the exploration behavior of these algorithms and provide guidelines for designing selection mechanisms for evolutionary robotics.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
EditorsSuresh Sundaram
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages867-874
Number of pages8
ISBN (Electronic)9781538692769
DOIs
Publication statusPublished - 28 Jan 2019
Event8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 - Bangalore, India
Duration: 18 Nov 201821 Nov 2018

Conference

Conference8th IEEE Symposium Series on Computational Intelligence, SSCI 2018
CountryIndia
CityBangalore
Period18/11/1821/11/18

Keywords

  • diversity
  • evolutionary robotics
  • morphological evolution
  • novelty search
  • search space exploration

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  • Cite this

    Miras, K., Gansekoele, A., Glette, K., & Eiben, A. E. (2019). Insights in evolutionary exploration of robot morphology spaces. In S. Sundaram (Ed.), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018 (pp. 867-874). [8628662] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSCI.2018.8628662