2006 | OriginalPaper | Buchkapitel
Successful Search and Rescue in Simulated Disaster Areas
verfasst von : Alexander Kleiner, Michael Brenner, Tobias Bräuer, Christian Dornhege, Moritz Göbelbecker, Mathias Luber, Johann Prediger, Jörg Stückler, Bernhard Nebel
Erschienen in: RoboCup 2005: Robot Soccer World Cup IX
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
RoboCupRescue Simulation is a large-scale multi-agent simulation of urban disasters where, in order to save lives and minimize damage, rescue teams must effectively cooperate despite sensing and communication limitations. This paper presents the comprehensive
search and rescue
approach of the
ResQ Freiburg
team, the winner in the RoboCupRescue Simulation league at RoboCup 2004.
Specific contributions include the predictions of travel costs and civilian life-time, the efficient coordination of an
active
disaster space exploration, as well as an any-time rescue sequence optimization based on a genetic algorithm.
We compare the performances of our team and others in terms of their capability of extinguishing fires, freeing roads from debris, disaster space exploration, and civilian rescue. The evaluation is carried out with information extracted from simulation log files gathered during RoboCup 2004. Our results clearly explain the success of our team, and also confirm the scientific approaches proposed in this paper.