Bonarini Andrea
Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy.
Curr Robot Rep. 2020;1(4):279-285. doi: 10.1007/s43154-020-00026-1. Epub 2020 Aug 27.
To present the multi-faceted aspects of communication between robot and humans (HRI), putting in evidence that it is not limited to language-based interaction, but it includes all aspects that are relevant in communication among physical beings, exploiting all the available sensor channels.
For specific purposes, machine learning algorithms could be exploited when data sets and appropriate algorithms are available.
Together with linguistic aspects, physical aspects play an important role in HRI and make the difference with respect to the more limited human-computer interaction (HCI). A review of the recent literature about the exploitation of different interaction channels is presented. The interpretation of signals and the production of appropriate communication actions require to consider psychological, sociological, and practical aspects, which may affect the performance. Communication is just one of the functionalities of an interactive robot and, as all the others, will need to be benchmarked to support the possibility for social robots to reach a real market.
阐述机器人与人类交互（HRI）的多方面情况，证明其不仅限于基于语言的互动，还包括物理实体间交流中所有相关方面，利用所有可用的传感器通道。
在有数据集和合适算法时，可利用机器学习算法实现特定目的。
与语言方面一样，物理方面在人机交互中也起着重要作用，且与更受限的人机交互（HCI）有所不同。本文对近期有关利用不同交互通道的文献进行了综述。信号的解读和适当通信行为的产生需要考虑可能影响性能的心理、社会和实际方面。通信只是交互式机器人的功能之一，与其他功能一样，需要进行基准测试，以支持社交机器人进入实际市场的可能性。
