• DocumentCode
    2420648
  • Title

    Intelligent autonomy for remote characterization of hazardous environments

  • Author

    Bruemmer, David J. ; Anderson, Matthew O. ; Marble, Julie L. ; Dudenhoeffer, Donald D. ; Few, Douglas A. ; McKay, Mark D.

  • Author_Institution
    Human Factors, Robotics & Remote Syst. Group, Idaho Nat. Eng. & Environ. Lab., Idaho Falls, ID, USA
  • fYear
    2003
  • fDate
    8-8 Oct. 2003
  • Firstpage
    750
  • Lastpage
    754
  • Abstract
    Remote characterization of high radiation environments is a pressing application area where robots have the potential to provide benefits in terms of time, cost, safety and quality of data. However, the ability to design robots that can be used effectively has proven to be no easy task. In 2001, the Idaho National Engineering and Environmental Laboratory (INEEL) successfully deployed a teleoperated robotic system coupled with a Gamma Locating and Isotopic Identification Device (RGL&IID) to characterize an area that had been closed to human entry for many years. This paper examines the limitations to the control strategy used and discusses how current efforts at the INEEL are developing intelligent controls that can actively mediate between the human and the robotic elements of the system. The resulting, mixed-initiative control architecture allows the user to shift the level of robot initiative throughout the task as needed. This system offers the opportunity for the human and robot to become a team where each can support the capabilities and limitations of the other.
  • Keywords
    gamma-ray detection; hazardous areas; intelligent control; man-machine systems; nuclear facility decommissioning; radioactivity measurement; telerobotics; IID; RGL; hazardous environments; high radiation environments; intelligent autonomy; intelligent controls; isotopic identification device; mixed-initiative control architecture; remote characterization; robotic gamma locating; teleoperated robotic system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control. 2003 IEEE International Symposium on
  • Conference_Location
    Houston, TX, USA
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-7891-1
  • Type

    conf

  • DOI
    10.1109/ISIC.2003.1254729
  • Filename
    1254729