• DocumentCode
    250183
  • Title

    TurboQuad: A leg-wheel transformable robot using bio-inspired control

  • Author

    Wei-Hsi Chen ; Hung-Sheng Lin ; Pei-Chun Lin

  • Author_Institution
    Dept. of Mech. Eng., Nat. Taiwan Univ. (NTU), Taipei, Taiwan
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    2090
  • Lastpage
    2090
  • Abstract
    The ability of the robot to negotiate the terrain strongly depends on its morphology and control strategy. Wheeled morphology is extremely good on the flat terrain, and the legged morphology has great mobility on the rough terrain, as proved by the legged animals. Thus, as the terrain nowadays is highly mixed with natural rough terrain, artificial rough terrain (ex: stair, bumps, etc), and artificial flat terrain (ex: road), designing a good robotic platform which can operated on all three categories may be a good solution. In the last few decades researchers have come up with two different approaches to elevate robots´ adaption to the environment: one is to design special mechanisms to overcome uneven terrain, and the other is to focus on behavioral development of a given robot to adapt different situations. Both approaches exist, but only a few works tried to solve the problem from both aspects simultaneously.
  • Keywords
    legged locomotion; motion control; neurocontrollers; trajectory control; CPG; TurboQuad; artificial flat terrain; artificial rough terrain; behavioral development; bio-inspired control; central pattern generator; continuous trajectory; control strategy; leg-wheel transformable robot; legged animals; legged morphology; legged trot mode; legged walk mode; natural rough terrain; neuron signal; robot adaptation; robot morphology; robotic platform; rough terrain mobility; smooth motion; smooth trajectory; terrain negotiation; uneven terrain; wheeled mode; wheeled morphology; Animals; Legged locomotion; Morphology; Oscillators; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6907143
  • Filename
    6907143