• DocumentCode
    3288296
  • Title

    Real-time adaptive motion planning for a continuum manipulator

  • Author

    Xiao, Jing ; Vatcha, Rayomand

  • Author_Institution
    Fac. of Comput. Sci., Univ. of North Carolina at Charlotte, Charlotte, NC, USA
  • fYear
    2010
  • fDate
    18-22 Oct. 2010
  • Firstpage
    5919
  • Lastpage
    5926
  • Abstract
    Continuum manipulators, featuring “continuous backbone structures”, are promising for deft manipulation of a wide range of objects under uncertain conditions in less-structured and cluttered environments. A multi-section trunk/tentacle robot is such a continuum manipulator. With a continuum robot, manipulation means a continuous whole-arm motion, often without a clear distinction between transport and grasping. In this paper, we address the novel problem of real-time motion planning for such a robot under uncertain conditions. We present an algorithm for on-line planning the motion of a planar continuum robot for grasping a target object amid an environment of other objects with uncertain movements. Our algorithm substantially extends the RAMP paradigm for real-time adaptive motion planning to this new form of whole-arm manipulation. Simulation results are promising, demonstrating the effectiveness of our approach.
  • Keywords
    adaptive control; continuum mechanics; dexterous manipulators; grippers; manipulator dynamics; mobile robots; motion control; path planning; RAMP paradigm; continuous backbone structure; continuous whole- arm motion; continuum manipulator; deft manipulation; grasping; multisection trunk-tentacle robot; online planning; planar continuum robot; real-time adaptive motion planning; whole-arm manipulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on
  • Conference_Location
    Taipei
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4244-6674-0
  • Type

    conf

  • DOI
    10.1109/IROS.2010.5648888
  • Filename
    5648888