Implementing Robust Voice-Control for Human Robot Interaction for Autonomous Robot Guides

Abstract

The integration of robotic systems in the form of personal guides into society is a paradigm shift that will disrupt how humans interact with robots. A significant element for personal robot guides and effective human-robot interaction (HRI) is the use of speech input from the user. Current methods lack robustness in their interpretation of user voice input, making it difficult for effective communication between humans and robot. Having accurate and robust speech recognition incorporated into robotic systems allows for more natural HRI. This paper discusses the use of high accuracy Google Cloud Speech Recognition for robot navigation in a given environment.