TRADR Project: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response

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• 作者：Ivana Kruijff-Korbayová ; Francis Colas ; Mario Gianni…
• 关键词：Disaster response robotics ; Persistent environment models ; Persistent multi ; robot action models ; Persistent multi ; robot collaboration models ; Persistent human ; robot teaming ; User ; centric design
• 刊名：KI - K篓鹿nstliche Intelligenz
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：29
• 期：2
• 页码：193-201
• 全文大小：1,695 KB
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• 作者单位：Ivana Kruijff-Korbayová (1)
  Francis Colas (2)
  Mario Gianni (6)
  Fiora Pirri (6)
  Joachim de Greeff (3)
  Koen Hindriks (3)
  Mark Neerincx (4)
  Petter ?gren (5)
  Tomá? Svoboda (7)
  Rainer Worst (8)
  
  1. Language Technology Lab, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany
  2. Eidgen?ssische Technische Hochschule Zürich (ETH), Zürich, Switzerland
  6. Università degli Studi di Roma “La Sapienza-(ROMA), Rome, Italy
  3. Technische Universiteit Delft (TUD), Delft, The Netherlands
  4. Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO), Soesterberg, The Netherlands
  5. Kungliga Tekniska Hoegskolan (KTH), Stockholm, Sweden
  7. Czech Technical University in Prague (CTU), Prague, Czech Republic
  8. Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany
  
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Software Engineering, Programming and Operating Systems
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1610-1987

文摘

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.