MTTP for robot manipulators based on intensified evolutionary programming and its application in PVR environment

被引:0
|
作者
Luo, X [1 ]
Fan, XP [1 ]
Chen, SQ [1 ]
Yi, S [1 ]
机构
[1] Cent S Univ, Coll Informat Sci & Engn, Changsha 410083, Peoples R China
关键词
minimum time trajectory planning and control; (MTTPC); minimum time trajectory planning (MTTP); evolutionary programming (EP); projective virtual reality (PVR); robot manipulator;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The minimum time trajectory planning (MTTP) of robot manipulator plays an important role in the field of robotics. However, it is very difficult to reach the optimal goal due to the nonlinearitics in the mathematic model and the strong couplings in robot dynamics. Based on the intensified evolutional programming kinematic approach, the trajectory planning optimization is carried out with numerical analysis and computations. Meanwhile, a kind of graphic simulation software is developed by using the new optimal algorithm based on projective virtual reality (PVR) technology. The graphic simulation and experimental results show that the intuitive operability, control, and supervision can be realized effectively in the virtual world, and the precision of projective operability is greatly enhanced.
引用
收藏
页码:26 / 31
页数:6
相关论文
共 50 条
  • [1] Integrated optimization of trajectory planning for robot manipulators based on intensified evolutionary programming
    Luo, X
    Fan, XP
    Zhang, H
    Chen, TF
    [J]. IEEE ROBIO 2004: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, 2004, : 546 - 551
  • [2] An environment for programming and control of multi-robot manipulators
    Moallem, M.
    Khoshbin, R.
    [J]. INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2006, 33 (04): : 254 - 258
  • [4] Novel integrated optimization algorithm for trajectory planning of robot manipulators based on integrated evolutionary programming
    Xiong Luo
    Xiaoping Fan
    Heng Zhang
    Tefang Chen
    [J]. Journal of Control Theory and Applications, 2004, 2 (4): : 319 - 331
  • [5] MODEL-BASED PROGRAMMING AND CONTROL OF ROBOT MANIPULATORS
    STEVENSON, CN
    [J]. COMPUTER, 1987, 20 (08) : 76 - 84
  • [6] Remarks on the application of dynamic programming to the optimal path timing of robot manipulators
    Cahill, AJ
    James, MR
    Kieffer, JC
    Williamson, D
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 1998, 8 (06) : 463 - 482
  • [7] A SYSTEM FOR PROGRAMMING AND CONTROLLING SENSOR-BASED ROBOT MANIPULATORS
    GESCHKE, CC
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1983, 5 (01) : 1 - 7
  • [8] An evolutionary optimisation approach to motor learning with first results of an application to robot manipulators
    Sullivan, JCW
    Pipe, AG
    [J]. SMC '97 CONFERENCE PROCEEDINGS - 1997 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: CONFERENCE THEME: COMPUTATIONAL CYBERNETICS AND SIMULATION, 1997, : 4406 - 4411
  • [9] A Research on Particle Swarm Optimization and its application in robot manipulators
    Huang Gang
    Li Dehua
    Yang Jie
    [J]. PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS, 2008, : 1343 - 1347
  • [10] An improved evolutionary programming algorithm for fuzzy programming problems and its application
    Qian, Wei-Yi
    Zhang, Jin
    [J]. PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2006, : 1851 - +