• DocumentCode
    1854672
  • Title

    Domain-specific processing - building a digital/analog neural processing system for control of intelligent robotics

  • Author

    Suddarth, Steven C.

  • Author_Institution
    Res. Lab., Wright-Patterson AFB, OH, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2466
  • Abstract
    Electronic neural architectures have been shown to be particularly well suited for tasks requiring high-dimensionality, low-precision and regular computational architecture. While these limitations are not serious for many sensory applications, they do not permit neural architectures as a panacea for complex computation and control. This paper discusses a “domain specific” architecture based upon a combination of specialized neural architectures combined with digital logic and computers for less structured tasks. A specific example is discussed involving a proposed system for high-speed sensory processing and control of autonomous aerial vehicles. The discussion includes the impacts of three-dimensional integration on reducing form factor and power while increasing overall performance
  • Keywords
    aircraft control; digital control; intelligent control; mobile robots; neurocontrollers; autonomous aerial vehicles; digital control; domain-specific processing; intelligent robotics; mobile robots; neural architectures; neural networks; neurocontrol; Application software; Computer architecture; Control systems; Intelligent robots; Intelligent sensors; Parallel architectures; Process control; Robot sensing systems; Sensor arrays; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.833458
  • Filename
    833458