• DocumentCode
    720283
  • Title

    Simultaneous localization and mapping using a micro-particle swarm optimization

  • Author

    Monfredo, Chris ; Sahin, Ferat

  • Author_Institution
    Electr. & Microelectron. Eng., Rochester Inst. of Technol., Rochester, NY, USA
  • fYear
    2015
  • fDate
    17-20 May 2015
  • Firstpage
    310
  • Lastpage
    315
  • Abstract
    Scan matching is a popular way of calculating a robot´s position given range data corresponding to objects in the environment. This paper proposes a simultaneous localization and mapping algorithm that uses micro-particle swarm optimization as an alternative method to the traditional scan matching algorithms. The effectiveness of this algorithm is tested and compared to other popular simultaneous and localization algorithms.
  • Keywords
    SLAM (robots); particle swarm optimisation; microparticle swarm optimization; scan matching algorithms; simultaneous localization and mapping algorithm; Mathematical model; Navigation; Particle swarm optimization; Robot kinematics; Simultaneous localization and mapping; Systems engineering and theory; Particle Swarm Optimization; SLAM; Scan matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System of Systems Engineering Conference (SoSE), 2015 10th
  • Conference_Location
    San Antonio, TX
  • Type

    conf

  • DOI
    10.1109/SYSOSE.2015.7151956
  • Filename
    7151956
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=720283