Modelling is widely used in biomedical research to gain insights into pathophysiology and treatment of neurological disorders but existing models, such as animal models and computational models, are limited in generalisability to humans and are restricted in the scope of possible experiments. Robotics offers a potential complementary modelling platform, with advantages such as embodiment and physical environmental interaction yet with easily monitored and adjustable parameters. In this review, we discuss the different types of models used in biomedical research and summarise the existing neurorobotics models of neurological disorders. We detail the pertinent findings of these robot models which would not have been possible through other modelling platforms. We also highlight the existing limitations in a wider uptake of robot models for neurological disorders and suggest future directions for the field.

中文翻译：

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神经系统疾病的神经机器人模型：迷你审查。

建模已广泛用于生物医学研究中，以获取病理生理学和神经系统疾病的治疗方法的见解，但是现有模型（例如动物模型和计算模型）在人类中的通用性受到限制，并且在可能的实验范围内受到限制。机器人技术提供了一个潜在的互补建模平台，它具有诸如实施例和物理环境交互等优点，并且具有易于监视和可调整的参数。在这篇综述中，我们讨论了生物医学研究中使用的不同类型的模型，并总结了神经系统疾病的现有神经机器人模型。我们详细介绍了这些机器人模型的相关发现，而其他建模平台无法做到这一点。