Research on Robot Control Technology Based on Kinect

Abstract

With the development of robot control technology, the interaction between humans and robots has become more and more common. Using human movements and gestures to control the robot can replace complex and cumbersome program operations, easily and conveniently manipulate the robot, issue commands to the robot, and interact with the robot. Human vision and gesture recognition based on machine vision is an indispensable key technology for implementing a new generation of human-computer interaction systems. As a revolutionary product, Kinect somatosensory devices capture color images, depth images, and human bone images, and provide a new way of human-computer interaction. It captures and tracks human movements, gestures and sounds. In this paper, the Kinect somatosensory device is used for static gesture recognition and dynamic gesture recognition. Based on this, the robot action is used to realize the contactless interactive interaction of the robot through gesture control. This paper introduces a Kinect device-based robot control method, which is related to the field of robot control, and is applied to the two-wheeled self-balancing robot motion control and human-computer interaction system. This method utilizes Kinect for the motion control system of two-wheeled self-balancing robot. It is controlled with the DTW gesture recognition algorithm.