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Efficient Intelligent Diagnostics for Autonomous Systems

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If you have a question about this talk, please contact Per Kristian Lehre.

The prognostics and health management demands on autonomous systems are significantly greater than those on manned vehicles. There is no outside recourse – all relevant information on vehicle state needs be available on-line, and all diagnoses, remedial actions and prognoses need to be available at all levels of the hierarchy of autonomy on-board the vehicle.

This talk will address the issues of producing intelligent diagnostics for autonomous systems at several levels:

  • the use of qualitative reasoning to efficiently produce diagnostics and prognostics
  • the ways in which those technologies can be used on board autonomous systems
  • the wider issue of the interactions needed between reasoning levels in order to ensure that all relevant information is available for problem monitoring, for diagnosis, and for mission planning.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

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