• DocumentCode
    129959
  • Title

    Analysis of climbing obstacle capability of a spherical robot with Mixed-Driven for polar research

  • Author

    Jun Luo ; Xudong Zou ; Junfeng Yao ; Shaorong Xie ; Huayan Pu

  • Author_Institution
    Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Combined the driving features of the spherical robot with Internal-Driven and Wind-Driven and took the special environment into account, this paper proposes a spherical robot structure with Mixed-Driven, both Internal-Driven and Wind-Driven, which is mainly consists of a flexible spherical shell and a drive module. The robot can be driven by the wind, as well as improve the capability of climbing and avoid obstacle through the drive module. We establish mathematical models of climbing obstacle on a slope and channel-crossing based on considering the deformation of flexible spherical shell and get the relationships between the wind speed the robot loads and both the height of obstacle and the length of channel, and compare and analysis the same abilities with the full Wind-Driven spherical robot. Then we use ADAMS dynamics software to carry out simulation experiments to examine validity of the mathematical model of climbing obstacle capability. This paper will provide follow-up study on dynamics and control of the spherical robot with theoretical basis.
  • Keywords
    collision avoidance; legged locomotion; ADAMS dynamics software; channel-crossing; climbing obstacle capability; drive module; driving feature; flexible spherical shell; internal-driven robot; mixed-driven robot; obstacle avoidance; polar research; spherical robot; wind speed; wind-driven robot; Equations; Gravity; Mathematical model; Robots; South Pole; Wind speed; ADAMS simulation; Mixed-Driven; Spherical robot; channel-crossing; climbing obstacle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2014 IEEE International Conference on
  • Conference_Location
    Hailar
  • Type

    conf

  • DOI
    10.1109/ICInfA.2014.6932618
  • Filename
    6932618