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In situ analysis for intelligent control

Fox, M. and Long, D. and Py, F. and Rajan, K. and Ryan, J. (2007) In situ analysis for intelligent control. In: MTS/IEEE Oceans 2007, 2007-10-02 - 2007-10-03, Vancouver, Canada.

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    Abstract

    We report a pilot study on in situ analysis of backscatter data for intelligent control of a scientific instrument on an Autonomous Underwater Vehicle (AUV) carried out at the Monterey Bay Aquarium Research Institute (MBARI). The objective of the study is to investigate techniques which use machine intelligence to enable event-response scenarios. Specifically we analyse a set of techniques for automated sample acquisition in the water-column using an electro-mechanical "Gulper", designed at MBARI. This is a syringe-like sampling device, carried onboard an AUV. The techniques we use in this study are clustering algorithms, intended to identify the important distinguishing characteristics of bodies of points within a data sample. We demonstrate that the complementary features of two clustering approaches can offer robust identification of interesting features in the water-column, which, in turn, can support automatic event-response control in the use of the Gulper.

    Item type: Conference or Workshop Item (Paper)
    ID code: 3183
    Keywords: machine intelligence, computer science, robotics, artificial intelligence, Hydraulic engineering. Ocean engineering, Electronic computers. Computer science
    Subjects: Technology > Hydraulic engineering. Ocean engineering
    Science > Mathematics > Electronic computers. Computer science
    Department: Faculty of Science > Computer and Information Sciences
    Related URLs:
    Depositing user: Professor Maria Fox
    Date Deposited: 17 May 2007
    Last modified: 06 Oct 2012 07:24
    URI: http://strathprints.strath.ac.uk/id/eprint/3183

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