2013
DOI: 10.1609/aimag.v34i1.2458
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RoboCup Rescue Robot and Simulation Leagues

Abstract: The RoboCup Rescue Robot and Simulation competitions have been held since 2000. The experience gained during these competitions has increased the maturity level of the field, which allowed deploying robots after real disasters (e.g. Fukushima Daiichi nuclear disaster). This article provides an overview of these competitions and highlights the state of the art and the lessons learned.ELLIITSHERP

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Cited by 37 publications
(20 citation statements)
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“…Simulations have been used to shorten the development time and to check the functions of the sensors. Competitions, such as RoboCup Rescue, provide platforms on which the response robots and algorithms can be tested in the simulated environments of disaster zones where they are intended to operate [2][3][4].…”
Section: School Of Engineering Chukyo Universitymentioning
confidence: 99%
“…Simulations have been used to shorten the development time and to check the functions of the sensors. Competitions, such as RoboCup Rescue, provide platforms on which the response robots and algorithms can be tested in the simulated environments of disaster zones where they are intended to operate [2][3][4].…”
Section: School Of Engineering Chukyo Universitymentioning
confidence: 99%
“…Currently, a wide variety of sensors are supported; ground truth, inertial navigation, GPS, range-scanners, sonar, CO2 and acoustic sensors are supported. It is our ambition to support all sensors which are used in the RoboCup Rescue competition [1]. This presence of sensors is queried via USARSim's CONF and GEO messages and automatically included the robot transform tree used by ROS.…”
Section: The Ros/usarsim Interfacementioning
confidence: 99%
“…This paper examines how a new interface to the ROS control framework (introduced by [5]) can be used inside the RoboCup Rescue Simulation League [1]. The ROS framework allows for easy sharing of modules [9], allowing fast progress.…”
Section: Introductionmentioning
confidence: 99%
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“…However, it is primarily focused to the Search and Rescue domain [3], [4], mainly thanks to the RoboCup Rescue Robot and Simulation competitions [5]. In emergency response, the research L. Chrpa focuses on the problem of determining a (nearly) optimal coverage of emergency services [6] where various techniques such as genetic programming [7] or fuzzy reasoning [8] have been used.…”
Section: Introductionmentioning
confidence: 99%