To explore pipelines is one of various bio-mimetic robot applications. The robot may work in common buildings such as between ceilings and ducts, in addition to complicated and massive pipeline systems of large industrial plants. The bio-mimetic robot finds any troubled area or malfunction and then reports its data. Importantly, it can not only prepare for but also react to any abnormal routes in the pipeline. The pipeline monitoring tasks require special types of mobile robots. For an effective movement along a pipeline, the movement of the robot will be similar to that of insects or crawling animals. During its movement along the pipelines, a pipeline monitoring robot has an important task of finding the shapes of the approaching path on the pipes. In this paper we propose an effective solution to the pipeline pattern recognition, based on the fuzzy classification rules for the measured IR distance data.


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    Titel :

    Development of a Pipeline Monitoring System by Bio-mimetic Robots


    Beteiligte:
    Seung You Na (Autor:in) / Daejung Shin (Autor:in) / Jin Young Kim (Autor:in) / Joo Hyun Jung (Autor:in) / Yong-Gwan Won (Autor:in)

    Erscheinungsdatum :

    24.01.2010


    Anmerkungen:

    oai:zenodo.org:1062014



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




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