Evolving robot software and hardware

A. E. Eiben*

*Corresponding author for this work

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

Abstract

This paper summarizes the keynote I gave on the SEAMS 2020 conference. Noting the power of natural evolution that makes living systems extremely adaptive, I describe how artificial evolution can be employed to solve design and optimization problems in software. Thereafter, I discuss the Evolution of Things, that is, the possibility of evolving physical artefacts and zoom in on a (r)evolutionary way of creating 'bodies' and 'brains' of robots for engineering and fundamental research.

Original languageEnglish
Title of host publicationSEAMS 2020
Subtitle of host publicationProceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
PublisherAssociation for Computing Machinery, Inc
Pages1-4
Number of pages4
ISBN (Electronic)9781450379625
DOIs
Publication statusPublished - 29 Jun 2020
Event15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020 - Virtual, Online, Korea, Republic of
Duration: 29 Jun 20203 Jul 2020

Conference

Conference15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020
CountryKorea, Republic of
CityVirtual, Online
Period29/06/203/07/20

Keywords

  • evolutionary computation
  • evolutionary robotics
  • learning

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