• DocumentCode
    620323
  • Title

    Multi-agent collaborative approaches in RCRSS

  • Author

    Shen Jie ; Liang Zhiwei ; Liu Juan ; Zhu Songhao

  • Author_Institution
    Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    3492
  • Lastpage
    3496
  • Abstract
    RCRSS is a multi-agent simulation environment, in this simulation environment, firefighters, ambulance and police work together to reduce disaster losses in the simulation environment. This article will use the information fusion technology to RCRSS multi-agent systems to use the agent (the police) to get the other agent (including the perception of the police agent) local information. It will get more complete situation assessment in order to plan and coordinate the collaborative behavior of multi-agent system, based on information fusion of multi-agent collaborative approach. The method used in robot rescue simulation system, the results show that the method can achieve a global task allocation strategy, improving agent collaboration.
  • Keywords
    emergency management; mobile robots; multi-agent systems; multi-robot systems; RCRSS multiagent systems; agent collaboration improvement; agent local information; ambulance; disaster loss reduction; firefighters; information fusion technology; multiagent collaborative approach; multiagent simulation environment; police; robot rescue simulation system; situation assessment; task allocation strategy; Collaboration; Conferences; Educational institutions; Electronic mail; Multi-agent systems; Robot kinematics; Information fusion; MAS; Rescue Simulation; Robot; Task allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561552
  • Filename
    6561552