Building Human Mobile Robot Audio Communication Interface with Artificial Intelligence and Deep Learning

Abstract

Voice conversation is the natural way of communication between persons and mobile robots. First of all, the person as a speaker sends usually the appropriate voice commands to navigate and control mobile robot movements. Second, having speaking ability, the mobile robot can interact with human, i.e. can speak to answer or report the person for accurate or wrong understanding and executing of human voice commands. The common way to realize the voice communication between persons and mobile robots is to build an appropriate human mobile robot audio communication interface. This is the main goal of this article and the chosen means to build the proposed human mobile robot audio communication interface are artificial intelligence (AI) and deep learning (DL). The results achieved are presented as the suitable experiments of sending voice commands to the mobile robot and the corresponding answers or reports as speech of mobile robot to inform the person whether or not the voice commands are accurately or wrong understand and executed.