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Towards Autonomous Strategy Decisions in the RoboCup Four-Legged League


Michael Quinlan, Oliver Obst, and Stephan Chalup. Towards Autonomous Strategy Decisions in the RoboCup Four-Legged League. In Proceedings of the Seventh IJCAI International Workshop on Nonmontonic Reasoning, Action and Change, 2007.


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Abstract

Each of the soccer leagues at RoboCup addresses a different aspect of the complex soccer task. The Four-Legged League is the only robot soccer league where more than two real legged robots play in a team. High levels of noise hamper vision and localisation, and therefore deliberate passing occurs rarely in normal game play. The present study highlights some connections to the simulation leagues where eleven agents play in a team and successful passes occur frequently. In the simulation leagues the development of successful global team strategies is at the centre of interest. The experiments in the present study evaluated the impact of varying global team strategies in the Four-Legged League. The NUbots 2006 system was tested against more aggressive and more defensive strategies. The results indicate that global team tactics should be considered in conjunction with a team's style of play. A set of metrics was developed which may enable a future robot soccer team to observe, reason, and modify its global strategy to suit that of an opposing team.


BiBTeX Entry


@InProceedings{   QOC07,
  author	= {Michael Quinlan and Oliver Obst and Stephan Chalup},
  booktitle	= {Proceedings of the Seventh IJCAI International Workshop
		   on Nonmontonic Reasoning, Action and Change},
  title 	= {Towards Autonomous Strategy Decisions in the {RoboCup}
		   Four-Legged League},
  year		= {2007},
  abstract	= {Each of the soccer leagues at RoboCup addresses a
		   different aspect of the complex soccer task. The Four-Legged League is the
		   only robot soccer league where more than two real legged robots play in a
		   team. High levels of noise hamper vision and localisation, and therefore
		   deliberate passing occurs rarely in normal game play. The present study
		   highlights some connections to the simulation leagues where eleven agents
		   play in a team and successful passes occur frequently. In the simulation
		   leagues the development of successful global team strategies is at the
		   centre of interest. The experiments in the present study evaluated the
		   impact of varying global team strategies in the Four-Legged League. The
		   NUbots 2006 system was tested against more aggressive and more defensive
		   strategies. The results indicate that global team tactics should be
		   considered in conjunction with a team's style of play. A set of metrics was
		   developed which may enable a future robot soccer team to observe, reason,
		   and modify its global strategy to suit that of an opposing team. },
}