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    Robot navigation: implications from search strategies in exploring crayfish

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    Author
    Heusslein, E; Patullo, BW; Macmillan, DL
    Date
    2010-05-01
    Source Title
    ROBOTICA
    Publisher
    CAMBRIDGE UNIV PRESS
    University of Melbourne Author/s
    Macmillan, David; PATULLO, BLAIR
    Affiliation
    Zoology
    Metadata
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    Document Type
    Journal Article
    Citations
    Heusslein, E., Patullo, B. W. & Macmillan, D. L. (2010). Robot navigation: implications from search strategies in exploring crayfish. ROBOTICA, 28 (3), pp.465-475. https://doi.org/10.1017/S0263574709005785.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/29337
    DOI
    10.1017/S0263574709005785
    Abstract
    <jats:title>SUMMARY</jats:title><jats:p>Biomimetic applications play an important role in informing the field of robotics. One aspect is navigation – a skill automobile robots require to perform useful tasks. A sub-area of this is search strategies, e.g. for search and rescue, demining, exploring surfaces of other planets or as a default strategy when other navigation mechanisms fail. Despite that, only a few approaches have been made to transfer biological knowledge of search mechanisms on surfaces along the ground into biomimetic applications. To provide insight for robot navigation strategies, this study describes the paths a crayfish used to explore terrain. We tracked movement when different sets of sensory input were available. We then tested this algorithm with a computer model crayfish and concluded that the movement of <jats:italic>C. destructor</jats:italic> has a specialised walking strategy that could provide a suitable baseline algorithm for autonomous mobile robots during navigation.</jats:p>
    Keywords
    Artificial Intelligence and Image Processing

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