• DocumentCode
    2973668
  • Title

    Investigation of truly cognitive and autonomous robots

  • Author

    Gautam, Sainyam ; Xie, Ming

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2009
  • fDate
    22-24 June 2009
  • Firstpage
    1340
  • Lastpage
    1344
  • Abstract
    The idea of artificial intelligence has been around with us for some time now but do we really know what we are looking for and is research in this field headed in the right direction? First of all, it is essential that the true meaning and principles of intelligence be comprehended before we can develop a truly intelligent robot. Neural networks and their modelling are crucial to the realisation of this goal. Some models have been long proposed but they suffer from certain limitations and drawbacks which does not make them suitable for application in an intelligent robot. In the paper, answers are sought and proposals are made to the effect of coming closer to the development of an intelligent robot through artificial neural networks. A very promising network model, the fractal neural network is the focus as it emulates the human brain most accurately. Its unique properties, sophistication and potential processing power make it the best contender for an artificial robot brain.
  • Keywords
    artificial intelligence; control engineering computing; intelligent robots; neural nets; artificial intelligence; artificial robot brain; autonomous robots; cognitive robots; fractal neural network; human brain; intelligent robot; Artificial intelligence; Artificial neural networks; Biological neural networks; Cognitive robotics; Fractals; Humans; Intelligent networks; Intelligent robots; Machine intelligence; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2009. ICIA '09. International Conference on
  • Conference_Location
    Zhuhai, Macau
  • Print_ISBN
    978-1-4244-3607-1
  • Electronic_ISBN
    978-1-4244-3608-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2009.5205125
  • Filename
    5205125