Ball distance estimation and tracking system of humanoid soccer robot

Abstract

Modern Humanoid Soccer Robots in uncontrolled environments need to be based on vision and versatile. This paper propose a method for object measurement and ball tracking method using Kalman Filter for Humanoid Soccer, because the ability to accurately track a ball is one of the important features for processing high-definition image. A color-based object detection is used for detecting a ball while PID controller is used for controlling pan tilt camera system. We also modify the robots controller CM-510 in order able to communicate efficiently using main controller. The proposed method is able to determine and estimate the position of a ball and kick the ball correctly with the success percentage greater than 90%. We evaluate and present the performance of the system. © 2014 IFIP International Federation for Information Processing.