Insights in evolutionary exploration of robot morphology spaces

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

doi:10.1109/SSCI.2018.8628662

Insights in evolutionary exploration of robot morphology spaces

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

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018
Editors	Suresh Sundaram
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	867-874
Number of pages	8
ISBN (Electronic)	9781538692769
DOIs	https://doi.org/10.1109/SSCI.2018.8628662
Publication status	Published - 28 Jan 2019
Event	8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 - Bangalore, India Duration: 18 Nov 2018 → 21 Nov 2018

Conference

Conference	8th IEEE Symposium Series on Computational Intelligence, SSCI 2018
Country/Territory	India
City	Bangalore
Period	18/11/18 → 21/11/18

Keywords

diversity
evolutionary robotics
morphological evolution
novelty search
search space exploration

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/SSCI.2018.8628662

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title = "Insights in evolutionary exploration of robot morphology spaces",

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.",

keywords = "diversity, evolutionary robotics, morphological evolution, novelty search, search space exploration",

author = "Karine Miras and Arwin Gansekoele and Kyrre Glette and Eiben, {A. E.}",

year = "2019",

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doi = "10.1109/SSCI.2018.8628662",

language = "English",

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editor = "Suresh Sundaram",

booktitle = "Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018",

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note = "8th IEEE Symposium Series on Computational Intelligence, SSCI 2018 ; Conference date: 18-11-2018 Through 21-11-2018",

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Miras, K, Gansekoele, A, Glette, K & Eiben, AE 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., 8628662, Institute of Electrical and Electronics Engineers Inc., pp. 867-874, 8th IEEE Symposium Series on Computational Intelligence, SSCI 2018, Bangalore, India, 18/11/18. https://doi.org/10.1109/SSCI.2018.8628662

Insights in evolutionary exploration of robot morphology spaces. / Miras, Karine; Gansekoele, Arwin; Glette, Kyrre et al.

Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. ed. / Suresh Sundaram. Institute of Electrical and Electronics Engineers Inc., 2019. p. 867-874 8628662.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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PY - 2019/1/28

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N2 - 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.

AB - 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.

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Insights in evolutionary exploration of robot morphology spaces

Abstract

Conference

Keywords

UN SDGs

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