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Positioning method for robot soccer based on Kalman filter

Jiaqi Li, Jin Xiao, Shaochen Xu

Year
2017
Citations
6

Abstract

This paper mainly discusses the method of positioning the ball in soccer robot competition. By analyzing the movement of the ball in relation to the robot goalkeeper, which could be divided into two major types, a positioning method for robot soccer based on Kalman filter is proposed. In the paper, the feasibility of this method is analyzed and its effectiveness is proved by experiments. The positioning method based on Kalman filter could make it more accurate to determine the location of the ball and it is beneficial for the robots to make correct decisions.

Keywords

Kalman filterRobotSoccer robotBall (mathematics)Computer scienceArtificial intelligenceComputer visionExtended Kalman filterMobile robotRobot control

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