| description |
An important aim of the current research e ort in artificial
intelligence and robotics is to achieve cooperative agent behavior
for teams of robots in real-world scenarios. Especially in the
RoboCup scenario, but also in other projects like Nexus, agents have
to cooperate eficiently to reach certain goals. In the RoboCup
project, cooperative team-play and team strategies similar to real
world soccer are intended. This article describes an approach that
combines cooperative aspects, role assignment algorithms and the
implementation of robot behavior with Interaction Nets. Based on
these single methods, a complete framework for team strategies was
developed that is used in the RoboCup environment for the
middle-size team CoPs Stuttgart and in the Nexus project, where a
team of robots guides persons through a building.
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