• DocumentCode
    3485888
  • Title

    Trajectory planning for a redundant mobile manipulator using avoidance manipulability

  • Author

    Cui, Ze ; Cao, Peng ; Shao, Yan-Ming ; Qian, Dong-Hai ; Wang, Xiang-Can

  • Author_Institution
    Dept. of Precision Mech. Eng., Shanghai Univ., Shanghai, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    283
  • Lastpage
    288
  • Abstract
    A trajectory planning method for a mobile manipulator is proposed in this paper. The mobile manipulator studied here consists of a mobile platform and a redundant manipulator. Since the system has the redundant degree of freedom to perform some tasks, it will have infinite configurations to make the end-effector track the desired trajectory. The concept of AMSI and AMSIP which were used to optimize the avoidance ability for redundant manipulator is extended to carry out the trajectory planning in this paper. We firstly predefine the trajectory of the mobile platform and stop it at a certain position defined by AMSI where allows the manipulator to reach all the desired points on the trajectory, then optimize the configuration of the manipulator according to AMSI and AMSIP to realize the whole trajectory planning task. The experiments are performed by the mobile manipulator in real environment.
  • Keywords
    collision avoidance; end effectors; manipulator kinematics; mobile robots; position control; redundant manipulators; avoidance manipulability; direct kinematic model; end-effector; mobile platform; redundant mobile manipulator; trajectory planning method; Automation; Kinematics; Manipulator dynamics; Planar motors; Polynomials; Robust stability; Servomotors; Trajectory; Universal motors; Wheels; Avoidance Manipulability; Mobile Manipulator; Trajectory Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262911
  • Filename
    5262911