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  4. TRADR Project: Long-term human-robot teaming for robot assisted disaster response
 
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2015
Journal Article
Title

TRADR Project: Long-term human-robot teaming for robot assisted disaster response

Abstract
This paper describes the project TRADR: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response. Experience shows that any incident serious enough to require robot involvement will most likely involve a sequence of sorties over several hours, days and even months. TRADR focuses on the challenges that thus arise for the persistence of environment models, multi-robot action models, and human-robot teaming, in order to allow incremental capability improvement over the duration of a mission. TRADR applies a user centric design approach to disaster response robotics, with use cases involving the response to a medium to large scale industrial accident by teams consisting of human rescuers and several robots (both ground and airborne). This paper describes the fundamentals of the project: the motivation, objectives and approach in contrast to related work.
Author(s)
Kruijff-Korbayová, Ivana
Colas, Francis
Gianni, Mario
Pirri, Fiora
Greeff, Joachim de
Hindriks, Koen
Neerincx, Mark
Ögren, Petter
Svoboda, Tomás
Worst, Rainer  
Journal
Künstliche Intelligenz : KI  
Open Access
DOI
10.1007/s13218-015-0352-5
Additional link
Full text
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • disaster response robotics

  • persistent environment models

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