Roboskeleton: An architecture for coordinating robot soccer agents

نویسندگان

  • David Camacho
  • Fernando Fernández
  • Miguel A. Rodelgo
چکیده

SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi agent environment. This framework has been previously instantiated in a deliberative domain (electronic tourism), where planning was used to integrate Web information in a tourist plan. RoboSkeleton results from the instantiation of the same framework, SkeletonAgent, in a very different domain, the robot soccer. This paper shows how this architecture is used to obtain collaborative behaviours in a reactive domain. The paper describes how the different modules of the architecture for the robot soccer agents are designed, directly showing the flexibility of our framework. r 2005 Elsevier Ltd. All rights reserved.

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عنوان ژورنال:
  • Eng. Appl. of AI

دوره 19  شماره 

صفحات  -

تاریخ انتشار 2006