• DocumentCode
    2622974
  • Title

    Directional Adhesive Structures for Controlled Climbing on Smooth Vertical Surfaces

  • Author

    Santos, Daniel ; Kim, Sangbae ; Spenko, Matthew ; Parness, Aaron ; Cutkosky, Mark

  • Author_Institution
    Center for Design Res., Stanford Univ., CA
  • fYear
    2007
  • fDate
    10-14 April 2007
  • Firstpage
    1262
  • Lastpage
    1267
  • Abstract
    Recent biological research suggests that reliable, agile climbing on smooth vertical surfaces requires controllable adhesion. In nature, geckos control adhesion by properly loading the compliant adhesive structures on their toes. These strongly anisotropic dry adhesive structures produce large frictional and adhesive forces when subjected to certain force/motion trajectories. Smooth detachment is obtained by simply reversing these trajectories. Each toe´s hierarchical structure facilitates intimate conformation to the climbing surface resulting in a balanced stress distribution across the entire adhesive area. By controlling the internal forces among feet, the gecko can achieve the loading conditions necessary to generate the desired amount of adhesion. The same principles have been applied to the design and manufacture of feet for a climbing robot. The manufacturing process of these directional polymer stalks is detailed along with test results comparing them to conventional adhesives
  • Keywords
    adhesion; biomimetics; force control; mobile robots; adhesion control; climbing robot; controlled climbing; directional adhesive structures; directional polymer stalks; geckos; internal force control; smooth vertical surfaces; stress distribution; Adhesives; Automatic control; Biological control systems; Carbon nanotubes; Geometry; Polymers; Robotics and automation; Robots; Shape; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2007 IEEE International Conference on
  • Conference_Location
    Roma
  • ISSN
    1050-4729
  • Print_ISBN
    1-4244-0601-3
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2007.363158
  • Filename
    4209262