• DocumentCode
    716626
  • Title

    Locomotive reduction for snake robots

  • Author

    Xuesu Xiao ; Cappo, Ellen ; Weikun Zhen ; Jin Dai ; Ke Sun ; Chaohui Gong ; Travers, Matthew J. ; Choset, Howie

  • Author_Institution
    Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    3735
  • Lastpage
    3740
  • Abstract
    Limbless locomotion, evidenced by both biological and robotic snakes, capitalizes on these systems´ redundant degrees of freedom to negotiate complicated environments. While the versatility of locomotion methods provided by a snake-like form is of great advantage, the difficulties in both representing the high dimensional workspace configuration and implementing the desired translations and orientations makes difficult further development of autonomous behaviors for snake robots. Based on a previously defined average body frame and set of motion primitives, this work proposes locomotive reduction, a simplifying methodology which reduces the complexity of controlling a redundant snake robot to that of navigating a differential-drive vehicle. We verify this technique by controlling a 16-DOF snake robot using locomotive reduction combined with a visual tracking system. The simplicity resulting from the proposed locomotive reduction method allows users to apply established autonomous navigation techniques previously developed for differential-drive cars to snake robots. Best of all, locomotive reduction preserves the advantages of a snake robot´s ability to perform a variety of locomotion modes when facing complicated mobility challenges.
  • Keywords
    mobile robots; object tracking; path planning; robot vision; 16-DOF snake robot; autonomous navigation techniques; biological snakes; complexity reduction; complicated mobility challenges; differential-drive vehicle; limbless locomotion; locomotive reduction method; orientations; robotic snakes; snake-like form; translations; visual tracking system; workspace configuration; Cameras; Joints; Mobile robots; Navigation; Robot kinematics; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139718
  • Filename
    7139718