• DocumentCode
    1638030
  • Title

    A wearable visuo-inertial interface for humanoid robot control

  • Author

    Sugiyama, Junichi ; Miura, Jun

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Toyohashi Univ. of Technol., Toyohashi, Japan
  • fYear
    2013
  • Firstpage
    235
  • Lastpage
    236
  • Abstract
    This paper describes a wearable visuo-inertial interface for humanoid robot control, which allows a user to control motion of a humanoid robot intuitively. The interface composed of a camera and inertial sensors and estimates body motion of the user: movement (walk), hand motion, and grasping gesture. The body motion (walk) estimation is performed by a combination of a monocular SLAM and a vision-inertial fusion using an extended Kalman filter. The hand motion is also estimated by using the same motion model and sensor fusion as the body motion estimation. The estimated motion was used to operate the movement or arm motion of the humanoid robot. We conducted the experiment on robot operation. The results revealed that the user intuitively controlled the robot and it responded to the operator commands correctly.
  • Keywords
    Kalman filters; SLAM (robots); cameras; gesture recognition; humanoid robots; image sensors; mobile robots; motion control; motion estimation; nonlinear filters; robot vision; sensor fusion; body motion estimation; camera; extended Kalman filter; grasping gesture; hand motion; humanoid robot control; inertial sensors; monocular SLAM; motion control; motion model; operator commands; sensor fusion; vision-inertial fusion; wearable visuo-inertial interface; Cameras; Humanoid robots; Mobile communication; Robot vision systems; human robot interaction; humanoid robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-4673-3099-2
  • Electronic_ISBN
    2167-2121
  • Type

    conf

  • DOI
    10.1109/HRI.2013.6483588
  • Filename
    6483588