• DocumentCode
    2405546
  • Title

    Control architecture for robots with continuum arms inspired by octopus vulgaris neurophysiology

  • Author

    Branson, David T., III ; Kang, Rongjie ; Guglielmono, E. ; Caldwell, Darwin G.

  • Author_Institution
    Dept. of Adv. Robot., Ist. Italiano di Tecnol., Genova, Italy
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    5283
  • Lastpage
    5288
  • Abstract
    Conventional rigid body robots typically use few degrees of freedom (DOF). This results in a manipulator that lacks flexibility and maneuverability when compared to continuum robots that utilize a much higher number of DOF. However, due to their continuous nature, the difficulty of measuring and controlling a large number of actuated DOF, and their high degree of nonlinearity, the development of control algorithms for continuum robot manipulators is an ongoing challenge. This paper presents an algorithm inspired by biological solutions from live octopus that utilizes division of functionality to achieve simple and robust control of continuum arm based systems. Simulated results for single and multiple dynamic continuum arms show the controller is capable of producing motions similar to that of octopus. The resulting controller is also computationally efficient enough for real-time implementation. In future this work will be implemented on a prototype robot with multiple continuum arms.
  • Keywords
    continuum mechanics; control nonlinearities; manipulator dynamics; neurophysiology; robust control; DOF; Octopus vulgaris neurophysiology; biological solutions; continuum robot manipulators; control algorithm development; degrees of freedom; multiple-dynamic continuum arms; nonlinearity degree; real-time implementation; rigid body robots; robot control architecture; robust control; single-dynamic continuum arms; Atmospheric measurements; Bismuth; Dynamics; Manipulator dynamics; Motion measurement; Particle measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6224576
  • Filename
    6224576