• DocumentCode
    172925
  • Title

    Neural control of an autonomous robot

  • Author

    Pinto, Adriano B. ; Barbosa, Ramiro S. ; Silva, M.F.

  • Author_Institution
    Sch. of Eng., ISEP/IPP, Polytech. of Porto, Porto, Portugal
  • fYear
    2014
  • fDate
    14-15 May 2014
  • Firstpage
    339
  • Lastpage
    344
  • Abstract
    This article aims to apply the concepts associated with artificial neural networks (ANN) in the control of an autonomous robot system that is intended to be used in competitions of robots. The robot was tested in several arbitrary paths in order to verify its effectiveness. The results show that the robot performed the tasks with success. Moreover, in the case of arbitrary paths the ANN control outperforms other methodologies, such as fuzzy logic control (FLC).
  • Keywords
    neurocontrollers; robots; ANN; FLC; artificial neural networks; autonomous robot; fuzzy logic control; neural control; robot competition; Artificial neural networks; Bluetooth; Control systems; Robots; Sonar; Training; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Robot Systems and Competitions (ICARSC), 2014 IEEE International Conference on
  • Conference_Location
    Espinho
  • Type

    conf

  • DOI
    10.1109/ICARSC.2014.6849809
  • Filename
    6849809
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=172925