• DocumentCode
    1718378
  • Title

    Mobile manipulator control based on voice and visual signal

  • Author

    Kong Kam Fong ; Li Yangmin

  • Author_Institution
    Dept. of Electromech. Eng., Univ. of Macau, Macao, China
  • fYear
    2013
  • Firstpage
    4286
  • Lastpage
    4291
  • Abstract
    In this paper, two kinds of methods are used to control the mobile manipulator in terms of voice signal control approach and visual signal control approach. In voice signal control approach, the mobile manipulator can perform some actions according to the operator´s speaking voice input through a microphone. For example, the robot can be commanded to go forward or backward in specified distance, turn left or right with specified angle, even can follow up “8” shape trajectory and catch a ball. In visual approach, the mobile robot can accomplish some actions according to the operator´s gestures of two hands using Kinect sensor information. It gets the depth image of two hands in spatial coordinates and calculates the relative distance of them to take some actions by an onboard computer. An embedded single board computer is installed in mobile robot Pioneer2 DX for enhancing remote control and running program´s ability.
  • Keywords
    gesture recognition; manipulators; microphones; mobile robots; robot vision; sensors; speech processing; telecontrol; Kinect sensor information; depth image; embedded single board computer; microphone; mobile manipulator control; mobile robot Pioneer2 DX; onboard computer; operator gestures; operator speaking voice input; relative distance; remote control; shape trajectory; spatial coordinates; visual approach; visual signal control; voice signal control; Joints; Kinematics; Manipulators; Mobile robots; Robot sensing systems; Speech recognition; Control; Mobile manipulator; Visual signal; Voice signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640172