• DocumentCode
    231997
  • Title

    The research of Multi-AUVs cooperative hunting problem in underwater environment with ocean current

  • Author

    Lv Ruofan ; Zhu Daqi

  • Author_Institution
    Lab. of Underwater Vehicles & Intell. Syst., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    4983
  • Lastpage
    4988
  • Abstract
    Bio-inspired neural network is a new method which attracts much attention in Multi-robot research. In Multi-AUVs cooperative hunting issue, the guidance of neurons provides high efficient path planning for each hunting robot. However, the ocean current factors have not been discussed in most articles in this issue. This paper analyzes the influence of complex factors of underwater environment and solves how to complete cooperative hunting task by multi-AUVs with bio-inspired neural network. And the simulation study verified the hunting task under the bio-inspired neural network method in underwater environment is feasible.
  • Keywords
    autonomous underwater vehicles; cooperative systems; multi-robot systems; neurocontrollers; path planning; bio-inspired neural network; hunting robot; multiAUVs cooperative hunting problem; multirobot research; neuron guidance; ocean current factors; path planning; underwater environment; Biological neural networks; Biological system modeling; Neurons; Oceans; Robot kinematics; Bio-inspired neural network; collision avoided; cooperative hunting; ocean current factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6895785
  • Filename
    6895785