• DocumentCode
    638437
  • Title

    Path planning of free-flying space robot using memetic algorithm

  • Author

    Jin Feihu

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    2
  • fYear
    2013
  • fDate
    June 28 2013-July 1 2013
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    Obstacle avoidance path planning of free-flying space robot is realized by using memetic algorithm. The memetic algorithm in this paper adopts genetic algorithm as global search and simulated annealing algorithm as local search, not only can find an optimal path but also can avoid obstacles safely. This method can find better results quickly and avoid falling into local minima. The algorithm was implemented with computer simulation and achieved good results.
  • Keywords
    aerospace robotics; collision avoidance; genetic algorithms; search problems; simulated annealing; computer simulation; free-flying space robot; genetic algorithm; global search algorithm; local minima; local search; memetic algorithm; obstacle avoidance path planning; simulated annealing algorithm; Annealing; Optimization; Robots; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2013 8th International Forum on
  • Conference_Location
    Ulaanbaatar
  • Print_ISBN
    978-1-4799-0931-5
  • Type

    conf

  • DOI
    10.1109/IFOST.2013.6616889
  • Filename
    6616889