| Literature DB >> 32470076 |
Karine Miras1, Eliseo Ferrante1, A E Eiben1.
Abstract
The field of Evolutionary Robotics addresses the challenge of automatically designing robotic systems. Furthermore, the field can also support biological investigations related to evolution. In this paper, we evolve (simulated) modular robots under diverse environmental conditions and analyze the influences that these conditions have on the evolved morphologies, controllers, and behavior. To this end, we introduce a set of morphological, controller, and behavioral descriptors that together span a multi-dimensional trait space. Using these descriptors, we demonstrate how changes in environmental conditions induce different levels of differentiation in this trait space. Our main goal is to gain deeper insights into the effect of the environment on a robotic evolutionary process.Entities:
Year: 2020 PMID: 32470076 DOI: 10.1371/journal.pone.0233848
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240