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Real-World Evolution of Robot Morphologies: A Proof of Concept

Milan Jelisavcic, Matteo De Carlo, Elte Hupkes, Panagiotis Eustratiadis, Jakub Orłowski, Evert Haasdijk, Joshua E. Auerbach, A. E. Eiben

Year
2017
Citations
58
Access
Open access

Abstract

Evolutionary robotics using real hardware has been almost exclusively restricted to evolving robot controllers, but the technology for evolvable morphologies is advancing quickly. We discuss a proof-of-concept study to demonstrate real robots that can reproduce. Following a general system plan, we implement a robotic habitat that contains all system components in the simplest possible form. We create an initial population of two robots and run a complete life cycle, resulting in a new robot, parented by the first two. Even though the individual steps are simplified to the maximum, the whole system validates the underlying concepts and provides a generic workflow for the creation of more complex incarnations. This hands-on experience provides insights and helps us elaborate on interesting research directions for future development.

Keywords

RobotEvolutionary roboticsComputer scienceArtificial intelligenceRoboticsProof of conceptWorkflowPlan (archaeology)Artificial lifePopulation

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