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  • Kruijff-Korbayová, I, et al. (author)
  • TRADR Project : Long-Term Human-Robot Teaming for Robot Assisted Disaster Response
  • 2015
  • In: Künstliche Intelligenz. - : Springer. - 0933-1875 .- 1610-1987. ; 29:2, s. 193-201
  • Journal article (peer-reviewed)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. 
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Type of publication
journal article (1)
Type of content
peer-reviewed (1)
Author/Editor
Neerincx, M. (1)
Ögren, Petter, 1974- (1)
Colas, F. (1)
Svoboda, T. (1)
Gianni, M (1)
Kruijff-Korbayová, I (1)
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Pirri, F (1)
de Greeff, J (1)
Hindriks, K (1)
Worst, R (1)
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University
Royal Institute of Technology (1)
Language
English (1)
Research subject (UKÄ/SCB)
Engineering and Technology (1)
Year
2015 (1)

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