Rough level planning method for a robot using SOFM neural network

Kimmo Pulakka, Veli Kujanpää

Research output: Contribution to journalArticleScientificpeer-review

3 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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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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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

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AU - Pulakka, Kimmo

AU - Kujanpää, Veli

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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.

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