Human Robot Interaction with Nao

Abstract

Human-robot interaction (HRI) has been an active area of research in recent years, with the goal of developing robots that can effectively interact with humans in various settings. In this paper, the exploration of the use of NAO, a humanoid robot, for HRI, and investigate how Python can be used to program NAO to perform various tasks. This study focuses on two main aspects of HRI: speech recognition and gesture recognition. This describes the implementation of these features using Python and the NAO qi API and evaluates the performance of the system through a series of experiments with human subjects. Our results demonstrate that NAO can effectively recognize and respond to human speech and gestures, and that Python provides a flexible and powerful tool for programming NAO for HRI. This investigation has achieved 95% accuracy using nlp based on our study. This work has implications for the development of intelligent robots using AI that can interact with humans in a natural and intuitive way, and can be applied in various domains, such as education, healthcare, and entertainment.