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    Robotic Fault Tolerance: Algorithms and Architectures

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    Author
    Visinsky, Monica L.; Cavallaro, Joseph R.; Walker, Ian D.
    Date
    1993-04-01
    Abstract
    Fault tolerance is an essential factor in ensuring successful autonomous systems, especially for robots working in remote or hazardous environments. To avoid the cost and risk involved in sending humans into these environs and improve the chances of mission success, robots must be able to quickly detect and recover from internal failures without relying on immediate repairs or human intervention. In developing robotic fault tolerance algorithms, the possible failures within the robot and the interdependence of these failures must first be determined. One useful tool for performing these tasks is Fault Tree Analysis. The tree structures developed by this technique provide a flow chart of possible robot fault events and define the cause and effect relationships between the failures.
    Citation
    M. L. Visinsky, J. R. Cavallaro and I. D. Walker, "Robotic Fault Tolerance: Algorithms and Architectures," 1993.
    Keyword
    Fault Tolerance; Robotics; Fault Trees
    Type
    Book chapter
    Publisher
    Prentice Hall, Englewood Cliffs, NJ
    Citable link to this page
    https://hdl.handle.net/1911/64178
    Metadata
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    • ECE Publications [1494]
    • Rice Wireless [268]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map