@inproceedings{1ba8589bb00f40d9978f0adc33e71ba9,
title = "Body symmetry in morphologically evolving modular robots",
abstract = "Almost all animals natural evolution has produced on Earth have a symmetrical body. In this paper we investigate the evolution of body symmetry in an artificial system where robots evolve. To this end, we define several measures to quantify symmetry in modular robots and see how these relate to fitness that corresponds to a locomotion task. We find that, although there is only a weak correlation between symmetry and fitness over the course of a single evolutionary run, there is a positive correlation between the level of symmetry and maximum fitness when a set of runs is taken into account.",
keywords = "Evolutionary robotics, Modular robots, Symmetry",
author = "{van de Velde}, T. and C. Rossi and Eiben, {A. E.}",
year = "2019",
doi = "10.1007/978-3-030-16692-2_39",
language = "English",
isbn = "9783030166915",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "583--598",
editor = "Castillo, {Pedro A.} and Paul Kaufmann",
booktitle = "Applications of Evolutionary Computation",
address = "Germany",
note = "22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held as Part of EvoStar 2019 ; Conference date: 24-04-2019 Through 26-04-2019",
}