• DocumentCode
    2678938
  • Title

    Autonomous generation of behavioral trace maps using rescue robots

  • Author

    Mano, Hayato ; Miyazawa, Katsunori ; Chatterjee, Ranajit ; Matsuno, Fumitoshi

  • Author_Institution
    Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    2809
  • Lastpage
    2814
  • Abstract
    In the current research we consider the scenario of post disaster rescue operations using multiple robots inside damaged buildings where the damage is not very extreme. The objective the of the work is to develop systems to support efficient rescue missions involving creation and exchange of environment maps enriched with information important to rescue operations, among multiple robots and rescue workers. In current days many research institutes are developing robots with widely different types and capabilities to support rescue operations. In rescue missions involving multiple robots it is essential to have sharable map information for efficient search and navigation irrespective of the differences in the structures and capabilities of the participating robots. In this paper we address the above issue by proposing a map description which combines the geographical data as well as the information about robot behaviors called ¿behavioral trace map¿. We describe the algorithm for generation of such maps and we present experimental results using rescue robots developed in our laboratory.
  • Keywords
    emergency services; mobile robots; multi-robot systems; behavioral trace maps autonomous generation; map description; multiple robots; post disaster rescue operations; rescue robots; robot behaviors; Humans; Intelligent robots; Laboratories; Mobile robots; Navigation; Robot sensing systems; Rough surfaces; Spatial databases; Surface roughness; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354079
  • Filename
    5354079