• DocumentCode
    663683
  • Title

    Characteristics of controllable adhesion using magneto-rheological fluid and its application to climbing robotics

  • Author

    Watanabe, Manabu ; Wiltsie, Nick ; Hosoi, Annette E. ; Iagnemma, K.

  • Author_Institution
    Robot. Group of IHI Corp., Yokohama, Japan
  • fYear
    2013
  • fDate
    3-7 Nov. 2013
  • Firstpage
    2315
  • Lastpage
    2320
  • Abstract
    In order to grasp and hold uneven or dusty objects, a robust adhesion mechanism is required. This paper evaluates controllable adhesion using magneto-rheological fluid (MRF) as a technique to stick to non-magnetic materials and rough/dusty surfaces. This technique is both simple to use and robust to uncertain surface conditions, as it involves applying MRF on a surface and activating it with a magnetic field. In this paper, we experimentally evaluate yield stresses in both normal and shear directions with respect to MRF layer thickness, magnetic flux density and surface type. Based on these results, a four-legged climbing robot is designed to demonstrate scaling vertical walls and shows effectiveness of the controllable adhesion using MRF for rough surface.
  • Keywords
    adhesion; legged locomotion; magnetic fields; magnetic fluids; magnetorheology; rough surfaces; shear strength; yield stress; MRF layer thickness; climbing robotics; controllable adhesion; dusty objects; dusty surfaces; four-legged climbing robot; magnetic field; magnetic flux density; magneto-rheological fluid; nonmagnetic materials; normal direction; robust adhesion mechanism; rough surfaces; shear direction; surface conditions; surface type; vertical walls; yield stresses; Adhesives; Iron; Magnetomechanical effects; Robots; Rough surfaces; Stress; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2153-0858
  • Type

    conf

  • DOI
    10.1109/IROS.2013.6696680
  • Filename
    6696680