• DocumentCode
    1783166
  • Title

    Teleoperation control of Baxter robot using body motion tracking

  • Author

    Reddivari, H. ; Yang, Chao ; Ju, Z. ; Liang, P. ; Li, Zuyi ; Xu, Benwei

  • Author_Institution
    Center for Robot. & Neural Syst., Plymouth Univ., Plymouth, UK
  • fYear
    2014
  • fDate
    28-29 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we use Kinect Xbox 360 sensor to implement the motion control of Baxter robot, a semi humanoid robot with limbs of 7 DOF joints with collision avoidance capabilities. Two different methods using vector approach and inverse kinematics approach have been designed to achieve a given task. Primitive experiments have been carried out to verify the effectiveness of the developed methods. Human motions is captured by Kinect sensor and calculated with Processing Software using SimpleOpenNI wrapper for OpenNI and NITE. UDP protocol is adopted to send reference motion to Baxter robot. Python and RosPy script programming kit is used to calculate joint angles of Baxter robot based on vector approach and inverse kinematics approach. The experimental results demonstrate that both of our proposed approaches have achieved satisfactory performance.
  • Keywords
    collision avoidance; control engineering computing; humanoid robots; mobile robots; motion control; robot kinematics; sensors; telerobotics; transport protocols; Baxter robot; DOF joints; Kinect Xbox 360 sensor; NITE; Python; RosPy script programming kit; SimpleOpenNI wrapper; UDP protocol; body motion tracking; collision avoidance capabilities; human motions; inverse kinematics; joint angles; motion control; processing software; reference motion; semihumanoid robot; teleoperation control; vector approach; Joints; Robot kinematics; Robot sensing systems; Shoulder; Software; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6731-5
  • Type

    conf

  • DOI
    10.1109/MFI.2014.6997722
  • Filename
    6997722