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https://doi.org/10.1016/s1474-6670(17)46120-9
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Cite Journal: IFAC Proceedings Volumes |  Publication Date: Jun 1, 1994 |
 Citations: 2 |
This paper describes experiments with the use of neural networks for image-based positioning of industrial robots. Firstly, an improved neural “visual-servoing” method based on geometric image characteristics is developed and analyzed. Subsequently, a more flexible and robust scheme is shown, based on global descriptors of the image.
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