• DocumentCode
    2791600
  • Title

    Coupled Van Der Pol oscillators utilised as Central pattern generators for quadruped locomotion

  • Author

    Liu, Chengju ; Chen, Qijun ; Zhang, Jiaqi

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    3677
  • Lastpage
    3682
  • Abstract
    Central pattern generators (CPGs) inspired from neural system of animal are widely used for the control of locomotion in robots. The objective of this paper is to modeling a CPG-network formed by a set of mutually coupled Van der Pol (VDP) oscillators to generating rhythmic movement patterns for multi-joint robot. Firstly, a VDP-CPG network is made up by four coupled VDP oscillators, which can produce multiple phase-locked oscillation patterns that correspond to the four basic quadrupedal gaits. Then the gait transitions between the different gaits are generated by altering the internal oscillator parameters. At last, we use VDP-CPG network to produce the joints trajectories for AIBO to control the locomotion. The simulation and experimental results demonstrate that the designed VDP-CPG network is effective to control the quadruped locomotion.
  • Keywords
    legged locomotion; multi-robot systems; path planning; relaxation oscillators; AIBO; VDP-CPG network; animal neural system; central pattern generators; coupled Van der Pol oscillators; gait transitions; multijoint robot; multiple phase-locked oscillation patterns; quadruped locomotion; quadrupedal gaits; robots locomotion control; Automatic generation control; Centralized control; Coupling circuits; Legged locomotion; Neural networks; Oscillators; Robot control; Robot kinematics; Robotics and automation; Trajectory; AIBO; Quadruped robot; VDP-CPG; gait; gait transition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192385
  • Filename
    5192385