• DocumentCode
    3190800
  • Title

    Influence of the skin thickness on tactile shape discrimination

  • Author

    Cabibihan, John-John ; Carrozza, Maria Chiara

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2012
  • fDate
    24-27 June 2012
  • Firstpage
    1681
  • Lastpage
    1685
  • Abstract
    Tactile sensors are important for robotic or prosthetic hands, which are designed for manipulation of objects. These sensors are normally embedded in soft, elastic materials for protecting the subsurface sensor from damage or for better hand-to-object contact. In this paper, various thicknesses of the synthetic skin were investigated to determine their effects on the signals that will be detected by the embedded sensor. A finite element model of an artificial fingertip, which was based on viscoelastic and hyperelastic behavior, was used. It was shown that the synthetic skin blurs the signals that are transmitted to the embedded sensor. In short, the thicker the material, the more it will be difficult for the embedded sensor to discriminate the shape that is indented on the surface. These results are helpful to guide the specifications of the skin thickness of artificial skins with embedded tactile sensing.
  • Keywords
    finite element analysis; intelligent sensors; manipulators; medical robotics; prosthetics; tactile sensors; viscoelasticity; FEM; artificial fingertip; elastic materials; embedded sensor; finite element model; hand-to-object contact; hyperelastic behavior; manipulation; prosthetic hands; skin thickness; subsurface sensor; synthetic skin; tactile sensors; tactile shape discrimination; viscoelastic behavior; Materials; Robot sensing systems; Shape; Skin; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS International Conference on
  • Conference_Location
    Rome
  • ISSN
    2155-1774
  • Print_ISBN
    978-1-4577-1199-2
  • Type

    conf

  • DOI
    10.1109/BioRob.2012.6290938
  • Filename
    6290938