Rough level planning method for a robot using SOFM neural network

Kimmo Pulakka, Veli Kujanpää

    Research output: Contribution to journalArticleScientificpeer-review

    4 Citations (Scopus)

    Abstract

    In this paper a path planning method for off-line programming of a joint robot is described. The method can automatically choose the easiest and safest route for an industrial robot from one position to another. The method is based on the use of a Self Organised Feature Map (SOFM) neural network. By using the SOFM neural network the method can adapt to different working environments of the robot. According to test results one can conclude that the SOFM neural network is a useful tool for the path planning problem of a robot.
    Original languageEnglish
    Pages (from-to)415-423
    JournalRobotica
    Volume16
    Issue number4
    Publication statusPublished - 1998
    MoE publication typeNot Eligible

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    Robot
    Planning
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    Neural Networks
    Motion planning
    Neural networks
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    Cite this

    Pulakka, K., & Kujanpää, V. (1998). Rough level planning method for a robot using SOFM neural network. Robotica, 16(4), 415-423.
    Pulakka, Kimmo ; Kujanpää, Veli. / Rough level planning method for a robot using SOFM neural network. In: Robotica. 1998 ; Vol. 16, No. 4. pp. 415-423.
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    abstract = "In this paper a path planning method for off-line programming of a joint robot is described. The method can automatically choose the easiest and safest route for an industrial robot from one position to another. The method is based on the use of a Self Organised Feature Map (SOFM) neural network. By using the SOFM neural network the method can adapt to different working environments of the robot. According to test results one can conclude that the SOFM neural network is a useful tool for the path planning problem of a robot.",
    author = "Kimmo Pulakka and Veli Kujanp{\"a}{\"a}",
    year = "1998",
    language = "English",
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    journal = "Robotica",
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    Pulakka, K & Kujanpää, V 1998, 'Rough level planning method for a robot using SOFM neural network', Robotica, vol. 16, no. 4, pp. 415-423.

    Rough level planning method for a robot using SOFM neural network. / Pulakka, Kimmo; Kujanpää, Veli.

    In: Robotica, Vol. 16, No. 4, 1998, p. 415-423.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Rough level planning method for a robot using SOFM neural network

    AU - Pulakka, Kimmo

    AU - Kujanpää, Veli

    PY - 1998

    Y1 - 1998

    N2 - In this paper a path planning method for off-line programming of a joint robot is described. The method can automatically choose the easiest and safest route for an industrial robot from one position to another. The method is based on the use of a Self Organised Feature Map (SOFM) neural network. By using the SOFM neural network the method can adapt to different working environments of the robot. According to test results one can conclude that the SOFM neural network is a useful tool for the path planning problem of a robot.

    AB - In this paper a path planning method for off-line programming of a joint robot is described. The method can automatically choose the easiest and safest route for an industrial robot from one position to another. The method is based on the use of a Self Organised Feature Map (SOFM) neural network. By using the SOFM neural network the method can adapt to different working environments of the robot. According to test results one can conclude that the SOFM neural network is a useful tool for the path planning problem of a robot.

    M3 - Article

    VL - 16

    SP - 415

    EP - 423

    JO - Robotica

    JF - Robotica

    SN - 0263-5747

    IS - 4

    ER -