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- Kruijff-Korbayová, I, et al.
(författare)
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TRADR Project : Long-Term Human-Robot Teaming for Robot Assisted Disaster Response
- 2015
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Ingår i: Künstliche Intelligenz. - : Springer. - 0933-1875 .- 1610-1987. ; 29:2, s. 193-201
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Tidskriftsartikel (refereegranskat)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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