Social robots adopt an emotional touch to interact with users inducing and transmitting humanlike emotions. Natural interaction with humans needs to be in real time and well grounded on the full availability of information on the environment. These robots base their way of communicating on direct interaction (touch, listening, view), supported by a range of sensors on the surrounding environment that provide a radially central and partial knowledge on it. Over the past few years, social robots have been demonstrated to implement different features, going from biometric applications to the fusion of machine learning environmental information collected on the edge. This article aims at describing the experiences performed and still ongoing and characterizes a simulation environment developed for the social robot Pepper that aims to foresee the new scenarios and benefits that tactile connectivity will enable.

中文翻译：

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等待触觉：雾中的机器人和虚拟体验

社交机器人采用情感触觉与用户互动，诱导和传递人类情感。与人类的自然互动需要实时并以环境信息的充分可用性为基础。这些机器人的通信方式基于直接交互（触摸、聆听、查看），并由一系列围绕周围环境的传感器提供支持，这些传感器提供径向中心和部分知识。在过去的几年里，社交机器人已经被证明可以实现不同的功能，从生物识别应用到边缘收集的机器学习环境信息的融合。