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If it evolves it needs to learn

A. E. Eiben, Emma Hart

Year
2020
Citations
27

Abstract

We elaborate on (future) evolutionary robot systems where morphologies and controllers of real robots are evolved in the real-world. We argue that such systems must contain a learning component where a newborn robot refines its inherited controller to align with its body, which will inevitably be different from its parents.

Keywords

Component (thermodynamics)RobotComputer scienceController (irrigation)Artificial intelligenceHuman–computer interactionControl engineeringEngineeringBiology

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