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Spatially targeted communication in decentralized multirobot systems
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  • 作者:Nithin Mathews (1)
    Gabriele Valentini (1)
    Anders Lyhne Christensen (2)
    Rehan O鈥橤rady (1)
    Arne Brutschy (1)
    Marco Dorigo (1)

    1. IRIDIA-CoDE
    ; Universit茅 Libre de Bruxelles ; Avenue Franklin Roosevelt 50 ; CP 194/6 ; 1050 ; Brussels ; Belgium
    2. Instituto de Telecomunica莽玫es
    ; Instituto Universit谩rio de Lisboa (ISCTE-IUL) ; Avenida For莽as Armadas ; 1649-026 ; Lisboa ; Portugal
  • 关键词:Decentralized multirobot systems ; Robot swarms ; Air ; ground robot teams ; Spatial coordination ; Inter ; robot communication
  • 刊名:Autonomous Robots
  • 出版年:2015
  • 出版时间:April 2015
  • 年:2015
  • 卷:38
  • 期:4
  • 页码:439-457
  • 全文大小:2,034 KB
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  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Automation and Robotics
    Electronic and Computer Engineering
    Computer Imaging, Vision, Pattern Recognition and Graphics
    Mechanical Engineering
    Simulation and Modeling
  • 出版者:Springer Netherlands
  • ISSN:1573-7527
文摘
Spatially targeted communication (STC) allows a message sender to choose message recipients based on their location in space. Currently, STC in multirobot systems is limited to centralized systems. In this paper, we propose a novel communication protocol that enables STC in decentralized multirobot systems. The proposed protocol dispenses with the many aspects that underpin previous approaches, including external tracking infrastructure, a priori knowledge, global information, dedicated communication devices or unique robot IDs. We show how off-the-shelf hardware components such as cameras and LEDs can be used to establish ad-hoc STC links between robots. We present a Markov chain model for each of the two constituent parts of our proposed protocol and we show, using both model-based analysis and experimentation, that the proposed protocol is highly scalable. We also present the results of extensive experiments carried out on an autonomous, heterogeneous multirobot system composed of one aerial robot and numerous ground-based robots. Finally, two real world application scenarios are presented in which we show how spatial coordination can be achieved in a decentralized multirobot system through STC.

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