• DocumentCode
    603132
  • Title

    Projected needs for robot-assisted chemical, biological, radiological, or nuclear (CBRN) incidents

  • Author

    Murphy, R.R. ; Peschel, J. ; Arnett, C. ; Martin, Daniel

  • Author_Institution
    Texas A&M Univ., College Station, TX, USA
  • fYear
    2012
  • fDate
    5-8 Nov. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This report projects the need for unmanned aerial and ground vehicles to assist with a response to a hazardous material incident, also called chemical biological radiological or nuclear (CBRN) events. The projected needs for the identification and containment phases were determined by a preliminary cognitive work analysis of CBRN response based on concept experimentation with 20 domain experts using a small unmanned aerial vehicle (UAV) to investigate a simulated chemical train derailment, lessons learned from the Fukushima Daiichi nuclear emergency, and an examination of the hazardous material response literature. The analysis answers “who?,” “what?,” “when?,” “where?” and “how?” robots can assist with CBRN. The analysis and experience leads to a set of “desirements,” that is idealized capabilities that responders expressed interest in or address known shortcomings, and concerns or comments about existing unmanned aerial and ground systems. The report is expected to be of use for developers in tailoring systems for the anticipated needs and adoption pattern of responders.
  • Keywords
    autonomous aerial vehicles; fission reactor containment; hazardous materials; service robots; CBRN; Fukushima Daiichi nuclear emergency; UAV; chemical biological radiological or nuclear; cognitive work analysis; containment phase; hazardous material; responder; simulated chemical train derailment; unmanned aerial vehicle; unmanned ground vehicle; Robots; cognitive work analysis; design requirements; emergency response; robot tasks; uav; ugv;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Safety, Security, and Rescue Robotics (SSRR), 2012 IEEE International Symposium on
  • Conference_Location
    College Station, TX
  • Print_ISBN
    978-1-4799-0164-7
  • Type

    conf

  • DOI
    10.1109/SSRR.2012.6523881
  • Filename
    6523881