• DocumentCode
    1575830
  • Title

    3D robotic mapping: A biologic approach

  • Author

    Silveira, Luan ; Guth, Felipe ; Drews, Paul ; Botelho, Silvia

  • Author_Institution
    Comput. Sci. Center, Fed. Univ. of Rio Grande - FURG, Porto Alegre, Brazil
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Mapping a 3D environment is a big challenge for roboticists, expecially in underwater environments. Nowadays, the most applied solution to this problem relies in Probabilistic Filters, but with the discovery of neurons in the mammalian brain associated with navigation tasks, biological approaches has been take place. This paper presents a system inspired in mammalian brain to solve the problem of mapping and localization of robots. Preliminaries results in simulated environments shows the relevance of the proposed method, which is highly parallelizable and capable of running in real time applications.
  • Keywords
    SLAM (robots); autonomous underwater vehicles; path planning; 3D robotic mapping; SLAM problem; biologic approach; mammalian brain; navigation tasks; neurons discovery; probabilistic filter; robots localization; robots mapping; underwater environments; Feature extraction; Navigation; Neurons; Robot sensing systems; Three-dimensional displays; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Robotics (ICAR), 2013 16th International Conference on
  • Conference_Location
    Montevideo
  • Type

    conf

  • DOI
    10.1109/ICAR.2013.6766531
  • Filename
    6766531