Computer Science Department/Computational Intelligence Group Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
PLoS One. 2020 May 29;15(5):e0233848. doi: 10.1371/journal.pone.0233848. eCollection 2020.
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.
进化机器人学领域旨在解决自动设计机器人系统的难题。此外,该领域还可以为与进化相关的生物研究提供支持。在本文中,我们在不同的环境条件下对(模拟)模块化机器人进行进化,并分析这些条件对所进化出的形态、控制器和行为的影响。为此,我们引入了一组形态、控制器和行为描述符,它们共同构成了一个多维特征空间。使用这些描述符,我们展示了环境条件的变化如何在这个特征空间中引起不同程度的分化。我们的主要目标是更深入地了解环境对机器人进化过程的影响。