A Behaviour-based Approach to Position Selection for Simulated Soccer Agents

نویسندگان

  • Matthew Hunter
  • Kostas Kostiadis
  • Huosheng Hu
چکیده

Selecting an optimal position for each soccer robot to move to in a robot football game is a challenging and complex task since the environment and robot motion are so dynamic and unpredictable. This paper provides an overview of behaviour-based position selection schemes used by Essex Wizards’99 simulated soccer team, a third place in RoboCup’99 simulator league at Stockholm. The focus concentrates on how each position selection behaviour is selected for individual robot agents. The factors that need to be considered and the architecture used to implement such position selection are also described. Finally the team performance at RoboCup’99 is examined, and future extensions are proposed.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems whichconsist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated soc...

متن کامل

A Generalised Approach to Position Selection for Simulated Soccer Agents

Position selection is a key task that must be carried out by a soccer-playing agent, but is often overlooked in favour of the more active tasks such as ball control. This paper examines the position selection implemented by the Essex Wizards team in the RoboCup Simulator league in recent competitions. The initial approach using task specific behaviours is firstly reviewed. The new approach is t...

متن کامل

Coordination Approach to Find Best Defense Decision with Multiple Possibilities among Robocup Soccer Simulation Team

In 2D Soccer Simulation league, agents will decide based on information and data in their model. Effective decisions need to have world model information without any noise and missing data; however, there are few solutions to omit noise in world model data; so we should find efficient ways to reduce the effect of noise when making decisions. In this article we evaluate some simple solutions whe...

متن کامل

Comparison of advanced physical fitness profile between Olympic soccer team members of Iran according to playing position

The aim of present study was comparison of advanced physical fitness profile between Olympic soccer team members of Iran according to playing position. 29 Invited soccer players to the 17th national Olympic soccer team of Iran dispatched to 17th Asian Olympics Games, Incheon 2014 )mean age of 20.39± 2.01 yrs(, divided into five group of goalkeepers, defenders, midfield players, wingers and atta...

متن کامل

An Unsupervised Learning Method for an Attacker Agent in Robot Soccer Competitions Based on the Kohonen Neural Network

RoboCup competition as a great test-bed, has turned to a worldwide popular domains in recent years. The main object of such competitions is to deal with complex behavior of systems which consist of multiple autonomous agents. The rich experience of human soccer player can be used as a valuable reference for a robot soccer player. However, because of the differences between real and simulated so...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000