• DocumentCode
    1861908
  • Title

    BILL-LEGS: Low computation emergent gait system for small mobile robots

  • Author

    Lewinger, William A. ; Quinn, Roger D.

  • Author_Institution
    Case Western Reserve Univ., Cleveland, OH
  • fYear
    2008
  • fDate
    19-23 May 2008
  • Firstpage
    251
  • Lastpage
    256
  • Abstract
    For almost two decades, Holk Cruse´s leg coordination method has been used as a control basis for generating gaits in legged robots. His stick insect inspired method has been successfully implemented for a number of robots such as Robot I and Robot II, the TUM Walking Machine, Tarry II, and BILL-Ant-p. However, some engineers have had difficulties implementing the controller when trying to select robust mechanism influence weights that are immune to variations in starting pose and leg speed. Additionally, the coordination method can be overwhelming for low- computation capable microcontrollers preferred for small, untethered mobile robots. The Biologically-Inspired Legged Locomotion-Low computation Emergent Gait System (BILL-LEGS) was developed as a solution to some of these issues. This method borrows heavily from Cruse´s original design with some modifications that allow it to be implemented on small, autonomous legged robots using simple microcontrollers. This paper describes the BILL-LEGS method and its performance during simulation. Additionally, data are presented that show its robustness to mechanism weight selection and its generation of stable gaits, independent of leg starting positions and leg movement speeds.
  • Keywords
    legged locomotion; BILL-LEGS; emergent gait system; leg coordination method; leg movement speed; leg starting position; legged robot; mechanism weight selection; small mobile robot; stable gait; Biology computing; Computational modeling; Immune system; Insects; Leg; Legged locomotion; Microcontrollers; Mobile robots; Robot kinematics; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
  • Conference_Location
    Pasadena, CA
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-1646-2
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2008.4543217
  • Filename
    4543217