Research Of Control Method For The Robot Path-following Based On Mobile Terminals And Machine Vision

In recent years, in real life applications, track control in the application of intelligent trajectory control is the most common way to follow the path control technology, this technology is widely used in smart home, car, minimally invasive surgery and other fields. However, for our country at present, the track following control technology still has some drawbacks, such as positioning accuracy in the following position is not good, the response characteristics are not perfect and so on. In this paper,based on the mobile terminal and machine vision robot path following control method of in-depth analysis of this issue on the development of China’s robot technology has a strong role in promoting the article using the optimization algorithm and its test, the purpose is to test this The validity and reliability of the method.First, the theoretical framework of the article: a detailed analysis of the existing robot-based path-following control method on the basis of in-depth analysis, and the theory of different methods of comparison. On the one hand, the problems of traditional background modeling and moving object detection algorithm are summarized, such as lack of image acquisition and processing of moving objects, low efficiency of path following, accuracy of target acquisition and recognition Lack of sex. On the other hand,based on the average background algorithm and the moving object algorithm, this paper proposes an improved method to form a robot path following control method, which is based on mobile terminal and machine vision.Secondly, the improved average background algorithm and the moving target algorithm are analyzed respectively, and the two algorithms are compared with the corresponding traditional algorithms. From the point of view of rationality and effectiveness, on the basis of mobile terminal and machine vision, this paper studies the path following control methodFinally, we design a more complete path following control system, which is characterized by robot-oriented, mobile terminal-based and machine vision. At the same time, the test system is constructed on the basis of full use of the trolley. After using the mobile terminal, according to the theory of machine vision, the follow-up control system is completed gradually, which mainly lies in the control of the walking path of the robot. Based on the improved average background algorithm, the paper greatly improves the accuracy of the robot walking following the specific path. According to the improved moving target algorithm, the article has the following advantages: To a large extent enhance the timeliness of the motion response. In the last chapter, theinnovation of this paper is sorted out, the necessity of path following prediction algorithm is expounded, and the follow-up work and prospect of related research are put forward.