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If it evolves it needs to learn

A. E. Eiben, Emma Hart

发表年份
2020
引用次数
27

摘要

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.

关键词

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

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