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Special Issue on Social Robotics

机译：社会机器人特刊

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Recently, various types of social robots have been developed so far. Originally, sociality was discussed to realize cooperation among robots, e.g. collective behaviors in distributed autonomous robots. Afterward, as the technological progress related with interaction and communication such as speech recognition and gesture recognition, the research on human-robot interactions was discussed aggressively. Dautenhahn and Billard (Fonga et al., 2003) proposed the following definition: Social robots are embodied agents that are part of a heterogeneous group: a society of robots or humans. They are able to recognize each other and engage in social interactions, they possess histories (perceive and interpret the world in terms of their own experience), and they explicitly communicate with and learn from each other. This definition includes important discussion points such as embodiment, social interaction, perception, interpretation, explicit communication, experience, and learning. These are deeply related with the social psychology and cognitive science to deal with social communication, verbal and non-verbal communication, and social learning in addition to artificial intelligence, computational intelligence, collective intelligence, and emotional intelligence. Furthermore, we should discuss social robots from the technological point of view; e.g., the hardware design of human-friendly robots, human-robot interaction mechanisms, perception and recognition methods, natural language processing methods, machine learning algorithms, and human-robot co-existing environmental design. And also, we have to discuss the applicability of social robots to real world problems such as elderly care, rehabilitation support, edutainment, tele-presence, and information service. The role of social robots is becoming more important as an interface of cyber-physical systems. Especially, we also will have to deal with the ethics towards the coexistence society of people and social robots.
机译：最近，到目前为止，已经开发了各种类型的社交机器人。最初，讨论社交是为了实现机器人之间的合作，例如分布式自主机器人中的集体行为。随后，随着诸如语音识别和手势识别等与交互和交流相关的技术进步，人们对机器人交互的研究进行了积极的讨论。 Dautenhahn和Billard（Fonga等人，2003年）提出以下定义：社交机器人是具体体现的主体，是不同群体（机器人或人类社会）的一部分。他们能够相互认识并进行社会互动，拥有历史（根据自己的经历来感知和解释世界），并且可以彼此明确地交流和学习。该定义包括重要的讨论点，例如实施方式，社交互动，感知，解释，明确的交流，经验和学习。除了人工智能，计算智能，集体智能和情感智能外，这些还与社会心理学和认知科学密切相关，以处理社会交流，语言和非语言交流以及社会学习。此外，我们应该从技术角度讨论社交机器人。例如，人类友好型机器人的硬件设计，人机交互机制，感知和识别方法，自然语言处理方法，机器学习算法以及人机共存的环境设计。而且，我们还必须讨论社交机器人在现实世界中的适用性，例如老年人护理，康复支持，娱乐性，远程呈现和信息服务。作为网络物理系统的接口，社交机器人的角色变得越来越重要。尤其是，我们还必须处理关于人与社交机器人共存社会的伦理问题。

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    Kazuo Kiguchi; Maki Habib; Takahiro Takeda;

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    Department of Mechanical Engineering, Kyushu University, Fukuoka, Japan;

    Department of Mechanical Engineering, The American University in Cairo, New Cairo. Egypt;

    Department of Mechanical System Engineering, Daiichi Institute of Technology, Kagoshima, Japan;

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