• DocumentCode
    3378439
  • Title

    Robot Path Planning in High Risk Fire Front Environments

  • Author

    Jarvis, Ray A. ; Marzouqi, Mohamed S.

  • Author_Institution
    Intell. Robot. Res. Centre, Monash Univ., Melbourne, VIC
  • fYear
    2005
  • fDate
    21-24 Nov. 2005
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Most path planning approaches for mobile robot navigation have concentrated on discovering obstacle-free paths which minimise distance, time or energy. Here we show how variations adapted for Covert Robotics, where visibility from various (or all) points in the environment is built into the cost structures, can be further adapted to provide robot navigation paths which minimise risk of fire heat exposure in high risk fire front environments. Both escape routes and fire extinguishing forays can be planned using this methodology. A wide range of simulation results are presented to illustrate the power and scope of this approach. The work reported is related to an Australian Research Council Linkage Grant project entitled ´Robotic Vehicles for Fire Fighting and Emergency Services Support´.
  • Keywords
    collision avoidance; emergency services; fires; mobile robots; service robots; Covert Robotics; high risk fire front environments; mobile robot navigation; obstacle-free paths; robot path planning; Australia Council; Costs; Couplings; Fires; Intelligent robots; Mobile robots; Navigation; Orbital robotics; Path planning; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2005 2005 IEEE Region 10
  • Conference_Location
    Melbourne, Qld.
  • Print_ISBN
    0-7803-9311-2
  • Electronic_ISBN
    0-7803-9312-0
  • Type

    conf

  • DOI
    10.1109/TENCON.2005.301119
  • Filename
    4085007