• DocumentCode
    916392
  • Title

    Field and service applications - Dragline automation- A dedade of development - Shared Autonomy for Improving Mining Equipment Productivity

  • Author

    Winstanley, Graeme ; Usher, Kane ; Corke, Peter ; Dunbabin, Matthew ; Roberts, Jonathan

  • Author_Institution
    CSIRO ICT Centre, Kenmore
  • Volume
    14
  • Issue
    3
  • fYear
    2007
  • Firstpage
    52
  • Lastpage
    64
  • Abstract
    Draglines are massive machines commonly used in surface mining to strip overburden, revealing the targeted minerals for extraction. Automating some or all of the phases of operation of these machines offers the potential for significant productivity and maintenance benefits. The mining industry has a history of slow uptake of automation systems due to the challenges contained in the harsh, complex, three-dimensional (3D), dynamically changing mine operating environment. Robotics as a discipline is finally starting to gain acceptance as a technology with the potential to assist mining operations. This article examines the evolution of robotic technologies applied to draglines in the form of machine embedded intelligent systems. Results from this work include a production trial in which 250,000 tons of material was moved autonomously, experiments demonstrating steps towards full autonomy, and teleexcavation experiments in which a dragline in Australia was tasked by an operator in the United States.
  • Keywords
    artificial intelligence; mining equipment; mining industry; robots; dragline automation; machine embedded intelligent system; mining industry; robotics; History; Intelligent robots; Intelligent systems; Minerals; Mining equipment; Mining industry; Productivity; Robotics and automation; Service robots; Strips;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2007.901315
  • Filename
    4337967