• DocumentCode
    2542612
  • Title

    Deflection-based force sensing for continuum robots: A probabilistic approach

  • Author

    Rucker, D. Caleb ; Webster, Robert J., III

  • Author_Institution
    Vanderbilt Univ., Nashville, TN, USA
  • fYear
    2011
  • fDate
    25-30 Sept. 2011
  • Firstpage
    3764
  • Lastpage
    3769
  • Abstract
    The inherent flexibility of continuum robots allows them to interact with objects in a safe and compliant way. This flexibility also makes it possible to use robot deflection to estimate external forces applied to the robot. This ??intrinsic force sensing?? concept is particularly useful for thin continuum robots where application constraints preclude the use of traditional force sensors. This paper describes an Extended Kalman Filter approach to estimate forces applied at the tip of a continuum robot using only uncertain pose measurements and a kinematic-static model of the robot with uncertainty.
  • Keywords
    Kalman filters; force sensors; nonlinear filters; probability; robot kinematics; uncertain systems; deflection-based force sensing; extended Kalman filter approach; external force estimation; force sensor; intrinsic force sensing; kinematic-static model; probabilistic approach; robot deflection; thin continuum robot; uncertain pose measurement; Actuators; Force; Load modeling; Robot sensing systems; Uncertainty; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-61284-454-1
  • Type

    conf

  • DOI
    10.1109/IROS.2011.6094526
  • Filename
    6094526