Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision
Michele Vannucci, Satchit Chatterji, Babak Kargar
2024
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.
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in Harvard Style
Vannucci M., Chatterji S. and Kargar B. (2024). Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision. In Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: ECTA; ISBN 978-989-758-721-4, SciTePress, pages 96-107. DOI: 10.5220/0012947400003837
in Bibtex Style
@conference{ecta24,
author={Michele Vannucci and Satchit Chatterji and Babak Kargar},
title={Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision},
booktitle={Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: ECTA},
year={2024},
pages={96-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012947400003837},
isbn={978-989-758-721-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 16th International Joint Conference on Computational Intelligence - Volume 1: ECTA
TI - Testing Emergent Bilateral Symmetry in Evolvable Robots with Vision
SN - 978-989-758-721-4
AU - Vannucci M.
AU - Chatterji S.
AU - Kargar B.
PY - 2024
SP - 96
EP - 107
DO - 10.5220/0012947400003837
PB - SciTePress