• DocumentCode
    2676579
  • Title

    Path planning of 6-DOF humanoid manipulator based on improved ant colony algorithm

  • Author

    Fen, Li ; Jiang-hai, Zhao ; Xiao-bo, Song ; Pei-ying, Zhou ; Shi-hui, Fang ; Zhong-jie, Liu

  • Author_Institution
    Inst. of Adv. Manuf. Technol., Changzhou, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    4158
  • Lastpage
    4161
  • Abstract
    Based on the D-H parameter method for solving the inverse kinematics of a six degree of freedom(6-DOF) manipulator, the motion planning of manipulator was developed in order to overcome the limitation of basic ant colony algorithm when the working platforms smaller and the barriers is almost the same size with the target. A new improved ant colony algorithm is present in this paper based on the rule of finding better path in shorter time. Application of VC++ 6.0 tool in the host computer can achieve the path planning algorithm. The experiment results show that ants can find a better path in a shorter time and avoid the obstacle by the improved ant colony algorithm. The global searching performance is better than the basic one.
  • Keywords
    C++ language; ant colony optimisation; collision avoidance; humanoid robots; manipulator kinematics; search problems; 6-DOF humanoid manipulator; D-H parameter method; VC++ 6.0 tool; global searching performance; improved ant colony algorithm; inverse kinematics; motion planning; obstacle avoidance; path planning algorithm; six degree of freedom manipulator; Algorithm design and analysis; Manipulators; Planning; Service robots; Trajectory; 6-DOF manipulator; ant colony algorithm; path planning; robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244666
  • Filename
    6244666