Research on obstacle avoidance of badminton ball catching robot based on binocular vision and SIFT algorithm
In order to enhance the recognition and detection efficiency of badminton ball catching robot and improve its catching efficiency and obstacle avoidance ability,a kind of ball catching robot is proposed to assist badminton training.Firstly,the regression algorithm without anchor frame detection is used to realize the target detection and recognition of the robot.In addition,the badminton contour recognition technology and robot obstacle avoidance technology are introduced to realize the overall design of the ball catching robot.Finally,the environment feature point information of obstacles is obtained by scale invariant feature transformation algorithm,and the distance information of obstacles is obtained by weighted least squares fitting method.The experimental analysis shows that the proposed target recognition technology has a low error and remains within 0.3 for a long time.At the same time,the application test of badminton robot shows that its obstacle avoidance reaction time is short and its obstacle avoidance ability is strong.The error of fea-ture points is controlled within the range of 1～3.The above results show that the design of badminton ball catching robot based on binocular vision technology is reasonable,can realize the automatic recognition and acquisition of badminton,and has strong obstacle avoidance ability,which has important value in the development of intelligent training of badminton.
万方数据
维普
