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Towards heterogeneous robot teams for disaster mitigation: Results and performance metrics from RoboCup rescue
Author(s) -
Balakirsky Stephen,
Carpin Stefano,
Kleiner Alexander,
Lewis Michael,
Visser Arnoud,
Wang Jijun,
Ziparo Vittorio Amos
Publication year - 2007
Publication title -
journal of field robotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.152
H-Index - 96
eISSN - 1556-4967
pISSN - 1556-4959
DOI - 10.1002/rob.20212
Subject(s) - rescue robot , robot , competition (biology) , search and rescue , computer science , field (mathematics) , urban search and rescue , complement (music) , artificial intelligence , virtual machine , key (lock) , human–computer interaction , simulation , mobile robot , computer security , ecology , biochemistry , chemistry , mathematics , complementation , pure mathematics , gene , phenotype , biology , operating system
Urban Search and Rescue is a growing area of robotic research. The RoboCup Federation has recognized this, and has created the new Virtual Robots competition to complement its existing physical robot and agent competitions. In order to successfully compete in this competition, teams need to field multi‐robot solutions that cooperatively explore and map an environment while searching for victims. This paper presents the results of the first annual RoboCup Rescue Virtual competition. It provides details on the metrics used to judge the contestants as well as summaries of the algorithms used by the top four teams. This allows readers to compare and contrast these effective approaches. Furthermore, the simulation engine itself is examined and real‐world validation results on the engine and algorithms are offered. © 2007 Wiley Periodicals, Inc.