• DocumentCode
    2283531
  • Title

    Grouping delegation task allocation model for multi-robot collaboration system

  • Author

    Shi, Zhiguo ; Wei, Junming ; Wang, Zhiliang ; Zhang, Qiao ; Liu, Lei

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    4
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    440
  • Lastpage
    446
  • Abstract
    A grouping delegation model are presented to deal with multi-robot task allocation problem. In real life, in order to improve the efficiency of collaboration, a working system is usually divided into many collaborative groups. The problem of multi-robot task allocation can also refer to this model. Multiple robots are divided into different groups to accomplish a specific task according to their characteristics. Other robots can join the collaborative groups through collaboration. When a task cannot be completed by the members within the group, the robots outside the group can be asked to finish the task. In this case, delegation task allocation strategy based on the capability list of robots is employed. Delegated tasks usually have the time scope of implementation and should be returned within the stipulated time. To prevent the task delay caused by the uncertainty of the system, the cycle-time constraint is added to this delegation task allocation model, which can effectively improve the robustness and reliability of the system and optimize the performance of the whole system.
  • Keywords
    multi-robot systems; robust control; uncertain systems; cycle-time constraint; grouping delegation task allocation model; multirobot collaboration system; system robustness; system uncertainty; Collaboration; Multirobot systems; Ontologies; Resource management; Robot kinematics; Robot sensing systems; collaboration; delegation; multi-robot; task allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952885
  • Filename
    5952885