Rational Passing Decision based on Region for the Robotic Soccer

Abstract

For an agent to behave appropriately in an uncertain environment, efficient representation of knowledge and reliable reasoning mechanisms are at the core of design. This paper proposes a novel region based passing scheme for the robotic soccer. The scheme captures qualitative knowledge of soccer in a natural and efficient way. We implemented the rational passing decision based on region(RPDR) in our RoboCup simulation 3D team. Experiments show that our method out performs the base line method, i.e. position searching approach.

@InProceedings{RobCup2007,
  Title                    = {Rational Passing Decision based on Region for the Robotic Soccer},
  Author                   = {Yuan Xu and Yingzi Tan},
  Booktitle                = {the Proceedings of the RoboCup 2007: Robot Soccer World Cup XI},
  Year                     = {2007},

  Address                  = {Atlanta, USA},
  Month                    = {July},
  Publisher                = {Springer},

  Abstract                 = {For an agent to behave appropriately in an uncertain environment, efficient representation of knowledge and reliable reasoning mechanisms are at the core of design. This paper proposes a novel region based passing scheme for the robotic soccer. The scheme captures qualitative knowledge of soccer in a natural and efficient way. We implemented the rational passing decision based on region(RPDR) in our RoboCup simulation 3D team. Experiments show that our method out performs the base line method, i.e. position searching approach.}
}
Autoren:
Yuan Xu, Yingzi Tan
Kategorie:
Tagungsbeitrag
Jahr:
2007
Ort:
the Proceedings of the RoboCup 2007: Robot Soccer World Cup XI