• DocumentCode
    3110743
  • Title

    Multi-objective-based configuration generation and optimization for reconfigurable modular robot

  • Author

    Dong, Bo ; Li, Yuanchun

  • Author_Institution
    State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
  • fYear
    2011
  • fDate
    26-28 March 2011
  • Firstpage
    1006
  • Lastpage
    1010
  • Abstract
    A new method for reconfigurable modular robot on configuration auto-generation, optimization and evaluation was proposed in this paper. On the basis of assign and design of the module, a new descriptive method of configuration-CCM was proposed, and it can describe the configuration directly and completely which needed to satisfy the assembly requirement. Genetic-simulated annealing algorithm has been used for multi-objective optimization of configuration in the accessibility and the optimality of joint variables. Through the 3D dynamic simulation of configuration by Robotics Toolbox, the overall optimality was proved.
  • Keywords
    genetic algorithms; mobile robots; robot dynamics; simulated annealing; 3D dynamic simulation; configuration-CCM; genetic simulated annealing algorithm; multi objective based configuration generation; optimization; reconfigurable modular robot; Accuracy; Annealing; Assembly; Genetic algorithms; Joints; Optimization; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9440-8
  • Type

    conf

  • DOI
    10.1109/ICIST.2011.5765143
  • Filename
    5765143