• DocumentCode
    2719401
  • Title

    Canine Assisted Robot Deployment for Urban Search and Rescue

  • Author

    Tran, Jimmy ; Ferworn, Alexander ; Gerdzhev, Martin ; Ostrom, Devin

  • Author_Institution
    Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
  • fYear
    2010
  • fDate
    26-30 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In Urban Search and Rescue (USAR) operations the search for survivors must occur before rescue operations can proceed. Two methods that can be used to search in rubble are trained search dogs and specialized response robots (sometimes called rescue robots). Rescue robots are used to collect information about trapped people within a disaster like a collapsed building. Information from them can help first responders plan and execute a rescue effort. The main challenge for these robots is the restrictions placed on their mobility by challenging rubble surfaces. While current research in this area attacks this challenge through mechanical design, good solutions remain elusive. This paper presents a new method for dispersing response robots called Canine Assisted Robot Deployment (CARD). CARD´s approach utilizes USAR dogs to deliver robots close to a trapped human detected by the dog. This method exploits the canine ability to find survivors using their olfactory sensors and agility. Once a dog carrying a small robot has found a casualty, the robot can be dropped and begin exploring. Initial experiments and results are described in this paper.
  • Keywords
    emergency services; mobile robots; search problems; service robots; CARD; canine assisted robot deployment; human detection; rescue robots; rubble surfaces; urban search and rescue operations; Dogs; Humans; NIST; Robot sensing systems; Wireless communication; Biological Intelligence; USAR; canine; deployment; remote; robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Safety Security and Rescue Robotics (SSRR), 2010 IEEE International Workshop on
  • Conference_Location
    Bremen
  • Print_ISBN
    978-1-4244-8898-8
  • Electronic_ISBN
    978-1-4244-8899-5
  • Type

    conf

  • DOI
    10.1109/SSRR.2010.5981564
  • Filename
    5981564