• DocumentCode
    3319522
  • Title

    A Distributed Bidirectional Auction Algorithm for Multirobot Coordination

  • Author

    Song, Tao ; Yan, Xinan ; Liang, Alei ; Chen, Kai ; Guan, Haibing

  • Author_Institution
    Sch. of Software, Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    Multi-robot coordination is fundamental and significant in the robotics research community. With the increasing number of robots in one task, team efficiency improvement and energy consumption reduction research becomes more important in robots coordination. In this paper, we propose a novel multirobot coordination algorithm called Distributed Bidirectional Auction algorithm, in which robots bid for task and the task assignment is decided by both the auctioneer and bidder so that the task is completed through a more efficient coordination. We verify our algorithm through simulator on a large swarm of mobile robots in pattern formation scenario, which showed the approach improved team efficiency with robots increased. By comparison with traditional distributed auction algorithm and random allocation algorithm, it also performs better in energy consumption reduction.
  • Keywords
    distributed algorithms; mobile robots; multi-robot systems; Distributed Bidirectional Auction algorithm; energy consumption reduction; mobile robot swarm; multirobot coordination algorithm; pattern formation; random allocation algorithm; robotics research community; task assignment; Computer science; Costs; Energy consumption; Information security; Mobile robots; Pattern formation; Power engineering and energy; Robot kinematics; Robot sensing systems; Robustness; Distributed Bidirectional Auction; market-based; multirobot coordination; pattern formation; task allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research Challenges in Computer Science, 2009. ICRCCS '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3927-0
  • Electronic_ISBN
    978-1-4244-5410-5
  • Type

    conf

  • DOI
    10.1109/ICRCCS.2009.44
  • Filename
    5401224