Distributed team formation for humanoid robot soccer

Onuralp Ulusoy*, Sanem Sariel-Talay

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In this paper, we propose an adaptive team formation strategy for humanoid robot soccer. The proposed strategy involves distributed cooperative decisions through both communication and observations. Two agent groups, namely defenders and attackers, are formed by a case-based group formation method. Attackers are formed for constructing an attacking formation around the ball and scoring a goal whenever possible while defenders are for blocking and constructing a defensive obstacle against the opponent team. Cooperative decisions are made using communication among team members. Distribution of agents on the field is ensured by Voronoi cell construction of each agent through observations in a distributed manner. Experiments are set in the RoboCup 3D Soccer Simulation League environment where our method is compared to earlier team formation methods. The results illustrate that a distributed Voronoi cell construction method combined with a case-based grouping algorithm outperforms the others. Furthermore, it has been shown that our method is also robust to communication failures.

Original languageEnglish
Title of host publicationICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
Pages605-613
Number of pages9
Publication statusPublished - 2012
Event4th International Conference on Agents and Artificial Intelligence, ICAART 2012 - Vilamoura, Algarve, Portugal
Duration: 6 Feb 20128 Feb 2012

Publication series

NameICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
Volume1

Conference

Conference4th International Conference on Agents and Artificial Intelligence, ICAART 2012
Country/TerritoryPortugal
CityVilamoura, Algarve
Period6/02/128/02/12

Keywords

  • Distributed team formation
  • Humanoid robot soccer
  • Multi-robot cooperation
  • Robocup competitions
  • Team strategy

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