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| description |
Situation recognition in RoboCup gets more and more important to
enhance team behavior strategies. In this paper we present an
approach for a cooperative situation recognition architecture which
directly influences the game strategy of the own team. The presented
situation recognition architecture is derived from the human
archetype to recognize situations by a combination of learned
knowledge and observation of the environment. Humans only consider a
limited number of situation interpretations for certain
environmental scenes. We transfer that concept and introduce
Situation Libraries as an analogous approach for computer systems.
Consequently for every recognized situation a cooperative team
behavior is defined. This will effectively enhance the team play and
the ability of a team to adapt its behavior to the strategies of an
opponent and to the current game state.
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| publisher |
Palma de Mallorca: IASTED
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| type |
Text
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| Article in Proceedings
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| source |
In: Artificial Intelligence and Soft Computing, pp. 1-8
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| contributor |
IPVS, Bildverstehen
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| subject |
Robotics (CR I.2.9)
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| situation recognition
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| cooperative robotics
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