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Author:
Kleiner, Alexander (University of Freiburg)
Brenner, Michael (University of Freiburg) (Foundations of Artificial Intelligence)
Bräuer, Tobias (University of Freiburg) (Foundations of Artificial Intelligence)
Dornhege, Christian (University of Freiburg) (Foundations of Artificial Intelligence)
Göbelbecker, Moritz (University of Freiburg) (Foundations of Artificial Intelligence)
Luber, Matthias (University of Freiburg) (Foundations of Artificial Intelligence)
Prediger, Johann (University of Freiburg) (Foundations of Artificial Intelligence)
Stückler, Joerg (University of Freiburg) (Foundations of Artificial Intelligence)
Title:
ResQ Freiburg: Team Description and Evaluation
Publication type:
Conference paper (Refereed)
Language:
English
In:
RoboCup 2004 (CDROM Proceedings), Team Description Paper, Rescue Simulation League
Year of publ.:
2004
URI:
urn:nbn:se:liu:diva-72550
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72550
Subject category:
Robotics
Abstract(en) :

ResQ Freiburg is the world champion of the 2004 RoboCup competition in the Rescue simulation league. RoboCupRescue 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. To accomplish this, ResQ Freiburg introduced new methods for hierarchical path planning, death-time prediction of civilians, coordination of multi-agent city exploration, as well as an any-time rescue sequence optimization based on genetic algorithms. To evaluate the usefulness of these techniques we performed an extensive evaluation of the log files of the best participating teams in the competition. Our analysis explains the reasons for our team’s success, and thus could also provide an evaluation tool for future competitions.

Note:
(1st place in the competition)
Available from:
2011-11-28
Created:
2011-11-28
Last updated:
2011-11-30
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18 hits
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