Proceedings of the Genetic and Evolutionary Computation Conference · 2019 · 40 citations · 16 references
Life SciencesEvolutionary BiologyEvolutionary TheoryMicroevolutionRoboticsBehavioral EvolutionEmergent BehaviorEvolutionEvolutionary ComputationEvolutionary RoboticsRobot MorphologyBio-inspired Robot MorphologyComputational Evolution Of RobotsEvolutionary Design Of Modular RobotsModular MorphologyModular Robot EvolutionModular Robot MorphologyRobot Morphology DesignRobot Morphology Evolution
This paper studies the effects of different environments on morphological and behavioral properties of evolving populations of modular robots. To assess these properties, a set of morphological and behavioral descriptors was defined and the evolving population mapped in this multi-dimensional space. Surprisingly, the results show that seemingly distinct environments can lead to the same regions of this space, i.e., evolution can produce the same kind of morphologies/behaviors under conditions that humans perceive as quite different. These experiments indicate that demonstrating the 'ground truth' of evolution stating the firm impact of the environment on evolved morphologies is harder in evolutionary robotics than usually assumed.
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