Processing sensor data from the NAO robot

Abstract

The paper presents the processing of sensor data from the NAO humanoid robot, with a focus on the use of Python and the NAOqi API to capture and analyze visual data. The robot is equipped with advanced sensors, such as accelerometers, gyroscopes, touch sensors, and a camera, which enable complex interactions in the human environment. The solution allows for live video streaming to be captured and displayed using OpenCV, while the user can intuitively control the process. In addition, the paper discusses the diverse application areas of the NAO robot, such as education, research, entertainment, and healthcare, all of which offer innovative solutions to meet different usage needs. The interactive capabilities of the NAO robot allow students to easily learn the basics of programming and artificial intelligence, while researchers can use it to develop new algorithms in the field of machine learning and AI. The paper emphasizes the importance of technological integration, which makes robotics play an increasingly important role in everyday life. The study opens new perspectives in the field of data processing and application possibilities of robots, contributing to the development of future autonomous systems.