• DocumentCode
    623207
  • Title

    Analysis and experimental research on service robot oriented light modular mechanical arm

  • Author

    Chen Dian-sheng ; Li Zhen ; Yin Jun-mao

  • Author_Institution
    Robotic Inst., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    409
  • Lastpage
    414
  • Abstract
    Light modular mechanical arm is widely used in service robots. This paper combines the SHUNCK 7 DOF mechanical arm in the application of nursing robot, building its kinematics model, analyzing the inverse kinematic problem with the geometry method against specific grasping task, and the dynamic problem with the Newton-Euler method to achieve the smooth movement of the terminal. At last, construct the 3D model of the mechanical arm with OpenGL and conduct the dynamic simulation of the joints in the PC interface. Through a given task on the actual mechanical arm, the feasibility of modeling and analysis method, as well as validity of simulation result are testified. With the theoretical analysis as the basis, the mechanical arm could accomplish the grasping task smoothly and accurately, which lays a foundation for the nursing robot to achieve more advanced tasks autonomously.
  • Keywords
    Newton method; application program interfaces; dexterous manipulators; geometry; inverse problems; manipulator kinematics; service robots; user interfaces; 3D mechanical arm model; Newton-Euler method; OpenGL; PC interface; SHUNCK 7 DOF mechanical arm; dynamic problem; dynamic simulation; geometry method; grasping task; inverse kinematic problem; nursing robot kinematics model; service robot-oriented light modular mechanical arm; Equations; Grasping; Joints; Kinematics; Mathematical model; Robots; Torque; Dynamics; Experimental Verification; Kinematics; Modeling; OpenGL Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-6320-4
  • Type

    conf

  • DOI
    10.1109/ICIEA.2013.6566404
  • Filename
    6566404