Robotics is increasingly seen as a useful test bed for computational models of the brain functional architecture underlying animal behavior. We provide an overview of past and current work, focusing on probabilistic and dynamical models, including approaches premised on the free energy principle, situating this endeavor in relation to evidence that the brain constitutes a layered control system. We argue that future neurorobotic models should integrate multiple neurobiological constraints and be hybrid in nature.

中文翻译：

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通过机器人技术了解大脑功能结构

机器人技术越来越被视为动物行为背后的大脑功能结构计算模型的有用测试平台。我们概述了过去和当前的工作，重点关注概率和动力学模型，包括以自由能原理为前提的方法，将这一努力与大脑构成分层控制系统的证据联系起来。我们认为未来的神经机器人模型应该整合多种神经生物学约束并且本质上是混合的。