Research On RoboCup Midfielders’ Positioning Based Factor Analysis

With the coming of the ‘industry 4.0’, intelligent technology will be greatly improved. Robot is an important part in the study of artificial intelligence, and the trend of development is unstoppable.RoboCup simulation 2D which is an important branch in the study of the robot, has higher requirements about collaboration between agents. The position’s relationship between players is also an important aspect of multi-agent collaboration,which has a critical impact on the result of the game. And player’s positioning is a good method to deal with the position’s relationship between players. Midfielders are regarded as a bridge between team’s offense and defense. And it’s positioning play a key role in the collaboration between players.Therefore, it is necessary to study midfielders’ positioning.First,it proposes a introduction of the related RoboCup research background, and describe the simulation 2D’s current ststus of research on positioning, at the same time it analyzes the meaning of studying midfielder’s positioning.Then,factor analysis is a method which extracts common factor from variable group.It can reduce variable’s dimension and solve the problem of multi-variable’s complexity.This paper has a review in detail about the development background and application status of factor analysis.Moreover,it discuss the midfielder’s positioning in depth.This article choose model of factor analysis as the method of learning midfielder’s positioning,and establish the model of midfielder’s positioning based on factor analysis.Finally,on the basis of dissecting the structure of log files and dividing the playground, this paper design algorithm to obtain the relevant data of midfielder’s positioning from log files off-line, and use the model of factor analysis to dig unknown information of midfielder’s positioning.Combining experimental results with the game’s video, we can draw a conclusion that factor analysis model is effective to research midfielder’s positioning,and laying a solid foundation of learning positioning in future.