• DocumentCode
    2047698
  • Title

    An attitude estimation system for amphibious spherical robots

  • Author

    Liwei Shi ; Rui Xiao ; Shuxiang Guo ; Ping Guo ; Shaowu Pan ; Yanlin He

  • Author_Institution
    Sch. of Life Sci., Beijing Inst. of Technol., Beijing, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    2076
  • Lastpage
    2081
  • Abstract
    As one of the most effective tools for exploring the ocean, automatic underwater vehicles have attracted a lot of attentions for years. But some key problems have not been solved properly. It is especially difficult to design underwater vehicles in small size. In this paper, three inertial sensors were adopted to fabricate an attitude estimation system, which provided posture information for our amphibious spherical robot to realize motion control and autonomous navigation. The pitch, roll and heading angel were acquired from current robot attitude matrix, which was calculated from the quaternion algorithm. And the attitude was corrected by the fusion of accelerometer and magnetic sensor. Experimental results verified the validation and precision of the robotic attitude estimation system. It has manifested that the system is effective to realize the robot control and navigation.
  • Keywords
    accelerometers; autonomous underwater vehicles; mobile robots; motion control; path planning; sensor fusion; accelerometer sensor fusion; amphibious spherical robots; automatic underwater vehicles; autonomous navigation; inertial sensors; magnetic sensor fusion; motion control; quaternion algorithm; robot attitude matrix; robot control; robot navigation; robotic attitude estimation system; underwater vehicle design; Magnetic sensors; Mathematical model; Quaternions; Robot sensing systems; Sensor systems; Amphibious spherical robot; Attitude calculation; Quaternion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237806
  • Filename
    7237806