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Insights in evolutionary exploration of robot morphology spaces

Miras, Karine; Gansekoele, Arwin; Glette, Kyrre; Eiben, AE
Chapter; AcceptedVersion; Peer reviewed
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miras-ssci2018.pdf (3.751Mb)
Year
2018
Permanent link
http://urn.nb.no/URN:NBN:no-70938

CRIStin
1663121

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  • Institutt for informatikk [3608]
  • CRIStin høstingsarkiv [15984]
Original version
Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI 2018). 2018, 867-874
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 explored fewer spots 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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