Research on Reliability of Information Push Robot Based on Image Self-learning

Abstract

In order to improve the intelligent control ability of information push robot, an output reliability control method of information push robot based on image self-learning is proposed. The parameter identification model of robot output reliability positioning is constructed, and the pose correction and adaptive adjustment of information push robot are carried out by combining fuzzy constraint parameter control method. Adaptive learning control law is adopted to carry out adaptive feedback correction of robot spatial distribution parameter error under computer image vision, and computer image vision information tracking fusion method is adopted to realize adaptive positioning and fuzzy control of information push robot, and improve the ability of pose correction and error feedback adjustment. The simulation results show that the output reliability control accuracy of the information push robot is high and the adaptive control ability is good.