• DocumentCode
    2340503
  • Title

    Research on the Approach of Task Decomposition in Soccer Robot System

  • Author

    Chen, Jianping ; Yang, Yimin ; Wei, Liang

  • Author_Institution
    Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    284
  • Lastpage
    289
  • Abstract
    Task decomposition is an important research topic of mission planning in multi-robot system, which directly influences on the task allocation effect. Aiming at the task decomposition problem of soccer robot system, this paper proposed an approach of task decomposition based on court division and soccer gravitational field. Firstly, we deeply analyzed the production mechanism of total mission and the characteristic of subtask in soccer robot system, and then, after giving the formalized definition of subtask, we presented the methods to determine subtasks´ target point and direction angle as well as the dynamic adjustment strategy of task decomposition scheme. The results of simulation experiment demonstrate that the task decomposition algorithm addressed in this paper has less dependence on environment information of soccer match. It reduces the complexity of task allocation and improves the whole efficiency of mission planning as well.
  • Keywords
    mobile robots; multi-robot systems; path planning; task analysis; court division; direction angle; dynamic adjustment strategy; environment information; mission planning; multi-robot system; production mechanism; soccer gravitational field; soccer robot system; subtask target point; task allocation complexity; task decomposition; mission planning; soccer robot system; subtask; task decomposition; task generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
  • Conference_Location
    ChangSha
  • Print_ISBN
    978-0-7695-4286-7
  • Type

    conf

  • DOI
    10.1109/ICDMA.2010.33
  • Filename
    5701402