• DocumentCode
    716852
  • Title

    Robot-inspired biology: The compound-wave control template

  • Author

    Jin Dai ; Travers, Matthew ; Dear, Tony ; Chaohui Gong ; Astley, Henry C. ; Goldman, Daniel I. ; Choset, Howie

  • Author_Institution
    Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    5879
  • Lastpage
    5884
  • Abstract
    Biologically inspired robots perform many interesting and useful behaviors, but to effectively emulate their biological counterparts, robots often need to possess many degrees of freedom, complicating their mechanical design and making it difficult to apply standard control and motion planning strategies. To address this complexity, the robotics community has derived low-dimensional parameter-based controllers that naturally coordinate many degrees of freedom such as the serpenoid curves used to control snake robots. Controllers utilizing this parameterization for snake robots have been able to induce behaviors similar to that of the robots´ biological counterparts. A similar concept, called a control template, is used in the study of animal movements. However, much of the prior work on control templates has been limited to in-plane motion. In this work, we extend the usage of control templates to three dimensions to both better model and understand biology, as well as to help us gain better intuition into how we can use pre-existing control paradigms to create new behaviors for biologically inspired robots.
  • Keywords
    mobile robots; motion control; path planning; biologically inspired robots; compound-wave control template; control paradigms; control strategy; in-plane motion; low-dimensional parameter-based controllers; motion planning strategy; robot-inspired biology; serpenoid curve; snake robots control; Biological system modeling; Compounds; Robot kinematics; Switches; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7140022
  • Filename
    7140022