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Author:
Kleiner, Alexander (University of Freiberg) (AIRobotics)
Behrens, Nils (University of Bremen) (TZI)
Kenn, Holger (University of Bremen) (TZI)
Title:
Wearable Computing Meets Multiagent Systems: A Real-World Interface for the RoboCupRescue Simulation Platform
Publication type:
Conference paper (Refereed)
Language:
English
In:
First International Workshop on Agent Technology for Disaster Management at AAMAS06
Pages:
116-123
Year of publ.:
2006
URI:
urn:nbn:se:liu:diva-72549
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72549
Subject category:
Robotics
Abstract(en) :

One big challenge in disaster response is to get an overview over the degree of damage and to provide this information, together with optimized plans for rescue missions, back to teams in the field. Collapsing infrastructure, limited visibility due to smoke and dust, and overloaded communication lines make it nearly impossible for rescue teams to report the total situation consistently. This problem can only be solved by efficiently integrating data of many observers into a single consistent view. A Global Positioning System (GPS) device in conjunction with a communication device, and sensors or simple input methods for reporting observations, offer a realistic chance to solve the data integration problem. We propose preliminary results from a wearable computing device, acquiring disaster relevant data, such as locations of victims and blockades, and show the data integration into the RoboCupRescue Simulation platform, which is a benchmark for MAS within the RoboCup competitions. We show exemplarily how the data can consistently be integrated and how rescue missions can be optimized by solutions developed on the RoboCupRescue simulation platform. The preliminary results indicate that nowadays wearable computing technology combined with MAS technology can serve as a powerful tool for Urban Search and Rescue (USAR).

Available from:
2011-11-28
Created:
2011-11-28
Last updated:
2011-12-06
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