Research on goalkeeper strategy based on random forests algorithm in robot soccer

Haobin Shi, Wenbin Li, Zhujun Yu, Yong Qi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In nowadays, most of the goalkeeper's strategies in robot soccer teams are on the basis of prediction of the ball motion trajectory. In order to improve goalkeeper's intelligence in robot soccer match, this paper presented a robot soccer goalkeeper's strategy based on random forests algorithm. This strategy predicted the movement trends of the opposite robots and ball near our forbidden zone by use of random forests algorithm; According to information of predicted location, threat degree analysis model is applied to analyze the threat degree of opposite robots, and the goalkeeper is able to make correct defense with the threat degree. Simulation experiments showed the validity of this strategy.

Original languageEnglish
Title of host publication2009 1st International Conference on Information Science and Engineering, ICISE 2009
Pages946-950
Number of pages5
DOIs
StatePublished - 2009
Event1st International Conference on Information Science and Engineering, ICISE2009 - Nanjing, China
Duration: 26 Dec 200928 Dec 2009

Publication series

Name2009 1st International Conference on Information Science and Engineering, ICISE 2009

Conference

Conference1st International Conference on Information Science and Engineering, ICISE2009
Country/TerritoryChina
CityNanjing
Period26/12/0928/12/09

Keywords

  • Movement trend
  • Random forests
  • Robot soccer
  • Threat degree analysis model

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