• DocumentCode
    2700995
  • Title

    Prediction of obstacle climbing capability for tracked vehicles

  • Author

    Rajabi, Amir H. ; Soltanzadeh, Amir H. ; Alizadeh, Arash ; Eftekhari, Golnaz

  • Author_Institution
    IAUCTB, Tehran, Iran
  • fYear
    2011
  • fDate
    1-5 Nov. 2011
  • Firstpage
    128
  • Lastpage
    133
  • Abstract
    Among mobility issues of tracked vehicles, obstacle climbing is one of the most important problems which should be addressed. In this paper, we present a theoretical method of deriving the maximum height which a tracked robot (with and without sub-tracks) is capable of climbing. This can be employed as a useful factor in mechanical design process, judgment of obstacle climbing, optimization, and autonomous train traversal algorithms for tracked vehicles. Geometrical dimensions and position of the Center of Gravity (COG) are the parameters which this method depends on. Finally, the validation of the theory is done using two heterogeneous tracked vehicles.
  • Keywords
    collision avoidance; design engineering; mobile robots; optimisation; position control; tracked vehicles; autonomous train traversal algorithm; center of gravity position; geometrical dimension; heterogeneous tracked vehicle; mechanical design process; obstacle climbing capability prediction; optimization; tracked robot; vehicle tracking; Equations; Geometry; Mathematical model; Robot kinematics; Robot sensing systems; Vehicles; Center of Gravity; Geometrical dimensions; Obstacle climbing; Tracked vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Safety, Security, and Rescue Robotics (SSRR), 2011 IEEE International Symposium on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-61284-770-2
  • Type

    conf

  • DOI
    10.1109/SSRR.2011.6106766
  • Filename
    6106766