Improving the interaction between artificial systems and their users is an important issue in artificial intelligence. In current trends in social robotics, this is accomplished by making such systems not just intelligent but also emotionally sensitive. Therefore, artificial emotional intelligence (AEI) is focused on simulating and extending natural emotion (especially human emotion) to provide robots with the capability to recognise and express emotions in human–robot interaction (HRI). In this treatise, we present an overview of the advances made in AEI by highlighting the progress recorded in the areas of emotion classification, emotional robots, and emotion space modelling in HRI. This review is aimed at providing readers with a succinct, yet adequate compendium of the progresses made in the emerging AEI sub-discipline. It is hoped this effort will stimulate further interest aimed at the pursuit of more advanced algorithms and models for available technologies and possible applications to other domains.

改善人工智能系统及其用户之间的交互是人工智能的重要问题。在当今社会机器人技术的趋势中，这是通过使此类系统不仅智能而且对情感敏感而实现的。因此，人工智能（AEI）致力于模拟和扩展自然情感（尤其是人类情感），以使机器人能够识别和表达人机交互（HRI）中的情感。在本论文中，我们通过重点介绍在HRI中的情感分类，情感机器人和情感空间建模领域中记录的进展，概述了AEI的进展。这篇综述旨在为读者提供关于新兴AEI子学科所取得进展的简要而适当的概述。