Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision

Open Access
Authors
Publication date 2024
Host editors
  • Francesco Marcelloni
  • Kurosh Madani
  • Niki van Stein
  • Joaquim Filipe
Book title IJCCI 2024 : 16th International Joint Conference on Computational Intelligence : proceedings
Book subtitle Porto, Portugal, 20-22 November, 2024
ISBN (electronic)
  • 9789897587214
Event 16th International Joint Conference on Computational Intelligence, IJCCI 2024
Pages (from-to) 96-107
Publisher Setúbal: SciTePress
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Bilateral symmetry is a prominent characteristic in the animal kingdom and is linked to evolutionary advantages such as cephalization. This study investigates whether integrating vision into modular evolvable robots influences bilateral symmetry development for a targeted locomotion task. Through simulation, we found that vision did not significantly increase our measure of symmetry in the robots, which predominantly evolved into ‘snake-like’ morphologies (with only one limb extending from the head). However, vision capability was observed to accelerate the convergence of the evolutionary process in some conditions. Our findings suggest that, while vision enhances evolutionary efficiency, it does not necessarily promote symmetrical morphology in modular robots. Further research directions are proposed to explore more complex environments and alternative symmetry measures.
Document type Conference contribution
Language English
Published at
https://doi.org/10.5220/0012947400003837 (Final published version)
Other links
Downloads
Permalink to this page
Back