• DocumentCode
    2233700
  • Title

    A heuristics based multi-robot task allocation

  • Author

    Khuntia, A.K. ; Choudhury, B.B. ; Biswal, B.B. ; Dash, K.K.

  • Author_Institution
    Dept. of Mech.Eng., IGIT Sarang, Sarang, India
  • fYear
    2011
  • fDate
    22-24 Sept. 2011
  • Firstpage
    407
  • Lastpage
    410
  • Abstract
    This paper presents the application of GA for the task allocation in a non-homogeneous, multi-robotic environment. The problem considers deployment of such non-homogeneous robots for carrying out a set of desired tasks having their own space and time requirement. A model has been developed considering the environment, the system parameters and the robots´ capabilities. A solution algorithm has been developed and implemented to obtain the results. The results show that the solution has improved over that obtained earlier using other methods.
  • Keywords
    genetic algorithms; multi-robot systems; GA; genetic algorithm; heuristics based multirobot task allocation; nonhomogeneous multirobotic environment; Biological cells; Genetic algorithms; Mathematical model; Resource management; Robot kinematics; Workstations; Multi-Robot allocation model; assignment heuristics; genetic algorithm; linear programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE
  • Conference_Location
    Trivandrum
  • Print_ISBN
    978-1-4244-9478-1
  • Type

    conf

  • DOI
    10.1109/RAICS.2011.6069344
  • Filename
    6069344