• DocumentCode
    1743817
  • Title

    Control and random searching with multiple robots

  • Author

    Healey, A.J. ; Kim, J.

  • Author_Institution
    Center for Autonomous Underwater Vehicle Res., Naval Postgraduate Sch., Monterey, CA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    340
  • Abstract
    This paper discusses the elements of modeling and simulation methodology for the study of system performance analysis in minefield reconnaissance and object mapping in very shallow water environments. Crawling and swimming vehicles are considered, although the focus is on the first. Vehicle locomotion models are proposed. Wave and current models are discussed by reference to other ongoing research. The modeling of object detection sensors, and vehicle navigation sensors are also given. Using these principles given above, reference is made to the importance of two types of simulator graphics based visualization simulator that views the interactive behavior of robots and environment objects, and a Monte Carlo low resolution simulator that allows the study of system effectiveness. Also, other control parameters are studied including the effect of changes in the detection range of the primary sensor
  • Keywords
    Monte Carlo methods; collision avoidance; mobile robots; multi-robot systems; navigation; probability; simulation; underwater vehicles; Monte Carlo method; crawling vehicles; minefield reconnaissance; multiple robots; navigation; object mapping; probability; random searching; simulator graphics; very shallow water environments; Analytical models; Graphics; Navigation; Object detection; Performance analysis; Reconnaissance; Robots; System performance; Vehicle detection; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2000.912783
  • Filename
    912783