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The Impact of Morphological Diversity in Robot Swarms

Sindiso Mkhatshwa, Geoff Nitschke

Year
2023
Citations
4

Abstract

In nature, morphological diversity enhances functional diversity, however, there is little swarm (collective) robotics research on the impact of morphological and behavioral (body-brain) diversity that emerges in response to changing environments. This study investigates the impact of increasingly complex task environments on the artificial evolution of body-brain diversity in simulated robot swarms. We investigate whether increasing task environment complexity (collective behavior tasks requiring increasing degrees of cooperative behavior) mandates concurrent increases in behavioral, morphological, or coupled increases in body-brain diversity in robotic swarms. Experiments compared three variants of collective behavior evolution across increasingly complex task environments: two behavioral diversity maintenance variants and body-brain diversity maintenance. Results indicate that body-brain diversity maintenance yielded a significantly higher behavioral and morphological diversity in evolved swarms overall, which was beneficial in the most complex task environment.

Keywords

Diversity (politics)Swarm behaviourTask (project management)Collective behaviorSwarm roboticsRobotComputer scienceEvolutionary roboticsFunctional diversityArtificial intelligence

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