Interacting Robots in an Artificial Evolutionary Ecosystem

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

*Corresponding author for this work

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


In Evolutionary Robotics where both body and brain are malleable, it is common practice to evaluate individuals in isolated environments. With the objective of implementing a more naturally plausible system, we designed a single interactive ecosystem for robots to be evaluated in. In this ecosystem robots are physically present and can interact each other and we implemented decentralized rules for mate selection and reproduction. To study the effects of evaluating robots in an interactive ecosystem has on evolution, we compare the evolutionary process with a more traditional, oracle–based approach. In our analysis, we observe how the different approach has a substantial impact on the final behaviour and morphology of the robots, while maintaining decent fitness performance.

Original languageEnglish
Title of host publicationGenetic Programming
Subtitle of host publication26th European Conference, EuroGP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings
EditorsGisele Pappa, Mario Giacobini, Zdenek Vasicek
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages16
ISBN (Electronic)9783031295737
ISBN (Print)9783031295720
Publication statusPublished - 2023
Event6th European Conference on Genetic Programming, EuroGP 2023 held as part of EvoStar 2023 - Brno, Czech Republic
Duration: 12 Apr 202314 Apr 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13986 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference6th European Conference on Genetic Programming, EuroGP 2023 held as part of EvoStar 2023
Country/TerritoryCzech Republic

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Artificial Ecosystem
  • Evolutionary Computing
  • Evolutionary Robotics
  • Interactive Robot Ecosystem
  • Robot Interaction


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