Fuzzy-Based Robot Behavior with the Application of Emotional Pattern Generator

Laura Trautmann, A. Piros, J. Botzheim
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Abstract

The article deals with the development of human–robot interaction, where the robot measures the user’s emotional state as well as environmental factors by different devices, and it responds to the user with colorful patterns and controls the smart home through the guidance of the Internet of Things system. Before the design process, robots and their functions currently on the market, the role of emotions in communication, and technologies for measuring emotion (such as face recognition, measurement of heart rate, breath, and physical changes) are presented in detail. The designed robot (Em-Patty) uses a previously developed emotion-based automatic pattern generation system based on a fuzzy system, which is a suitable tool for handling emotions. A main and three fuzzy subsystems are fusioned in order to create the most efficient control system for Em-Patty. The nature-inspired design of the robot is also presented, as well as a description of its behavior with the help of a specific case study.
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基于模糊的机器人行为与情绪模式发生器的应用
文章论述了人机交互的发展,机器人通过不同的设备测量用户的情绪状态以及环境因素,并通过物联网系统的引导,以丰富多彩的图案回应用户,控制智能家居。在设计过程之前,将详细介绍目前市场上的机器人及其功能、情绪在交流中的作用以及测量情绪的技术(如人脸识别、测量心率、呼吸和身体变化等)。所设计的机器人(Em-Patty)使用了之前开发的基于模糊系统的情绪模式自动生成系统,这是一种适合处理情绪的工具。一个主系统和三个模糊子系统融合在一起,为 Em-Patty 创造了最有效的控制系统。此外,还介绍了该机器人的自然启发设计,以及借助具体案例研究对其行为的描述。
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