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

KI - Künstliche Intelligenz volume 29, pages 193–201 (2015)Cite this article

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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Notes

  1. Cf. the authors’ list for full names of the institutes listed here only by an abbreviation. For more information on the partners, please visit the project website: www.tradr-project.eu

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Author information

Authors and Affiliations

  1. Language Technology Lab, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Ivana Kruijff-Korbayová

  2. Eidgenössische Technische Hochschule Zürich (ETH), Zürich, Switzerland

    Francis Colas

  3. Technische Universiteit Delft (TUD), Delft, The Netherlands

    Joachim de Greeff & Koen Hindriks

  4. Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO), Soesterberg, The Netherlands

    Mark Neerincx

  5. Kungliga Tekniska Hoegskolan (KTH), Stockholm, Sweden

    Petter Ögren

  6. Università degli Studi di Roma “La Sapienza” (ROMA), Rome, Italy

    Mario Gianni & Fiora Pirri

  7. Czech Technical University in Prague (CTU), Prague, Czech Republic

    Tomáš Svoboda

  8. Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany

    Rainer Worst

Authors
  1. Ivana Kruijff-Korbayová
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  2. Francis Colas
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  3. Mario Gianni
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  4. Fiora Pirri
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  5. Joachim de Greeff
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  6. Koen Hindriks
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  7. Mark Neerincx
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  8. Petter Ögren
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  9. Tomáš Svoboda
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  10. Rainer Worst
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Corresponding author

Correspondence to Ivana Kruijff-Korbayová.

Additional information

TRADR is an EU-funded Integrated Project in the FP7 ICT Programme, grant no. 609763, Nov. 2013–Dec. 2017. URL: www.tradr-project.eu

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Kruijff-Korbayová, I., Colas, F., Gianni, M. et al. TRADR Project: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response. Künstl Intell 29, 193–201 (2015). https://doi.org/10.1007/s13218-015-0352-5

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  • DOI: https://doi.org/10.1007/s13218-015-0352-5

Keywords

  • Disaster response robotics
  • Persistent environment models
  • Persistent multi-robot action models
  • Persistent multi-robot collaboration models
  • Persistent human-robot teaming
  • User-centric design