Development of a real-time-position prediction algorithm for under-actuated robot manipulator by using of artificial neural network
An adaptive learning algorithm using an artificial neural network (ANN) has been proposed to predict the passive joint position of under-actuated robot manipulator. In this approach, a specific ANN model has been designed and trained to learn a desired set of joint angular positions for the passive...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Series: | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
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| Online Access: | View Fulltext in Publisher |