• DocumentCode
    682470
  • Title

    Proportional derivative control based robot arm system using Microsoft Kinect

  • Author

    Afthoni, Rizqa ; Rizal, Achmad ; Susanto, Erwin

  • Author_Institution
    Eng. Sch., Telkom Univ., Bandung, Indonesia
  • fYear
    2013
  • fDate
    25-27 Nov. 2013
  • Firstpage
    24
  • Lastpage
    29
  • Abstract
    Today, the development of manipulator robot technology is growing fast and giving good impact for human life. Application of the manipulator robot technology can help many human´s tasks effectively. However, most publications in this field of interest are based on complex computation, by using mathematical model from the actual robot. This paper proposes a control system for manipulator robot using Microsoft Kinect based on proportional-derivative control algorithm (PD-control). The function of Microsoft Kinect is as a sensor that detects position of Kinect user joints. The data from Microsoft Kinect will be processed by using inverse kinematics for mapping the position of user joints to the manipulator robot. After that, position controlling for manipulator robot will be processed based on PD-control algorithm in order to obtain the position of the manipulator robot in accordance with the movement of the user. The experiments have already been successfully implemented for movement of manipulator robot with some movement patterns directed by user.
  • Keywords
    PD control; image sensors; manipulator kinematics; position control; robot vision; Kinect user joints; Microsoft Kinect; PD-control; control system; human tasks; inverse kinematics; manipulator robot technology; mathematical model; position control; position detection; position sensor; proportional derivative control based robot arm system; user joint position mapping; Delays; Elbow; Oscillators; Robots; Robustness; Microsoft Kinect; inverse kinematic; manipulator robot; proportional-derivative control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Biomimetics, and Intelligent Computational Systems (ROBIONETICS), 2013 IEEE International Conference on
  • Conference_Location
    Jogjakarta
  • Print_ISBN
    978-1-4799-1206-3
  • Type

    conf

  • DOI
    10.1109/ROBIONETICS.2013.6743572
  • Filename
    6743572