Tracing a Weld Line using Artificial Neural Networks
Robotic manipulators are becoming increasingly popular nowadays with applications in almost every industry and production line. It is difficult but essential to create a common algorithm for the different types of manipulators present in today’s market so that automation can be achieved at a faster...
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Atlantis Press
2018-09-01
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Series: | International Journal of Networked and Distributed Computing (IJNDC) |
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doaj-c1b717a91ad24756be378eec92ee70522020-11-24T21:50:23ZengAtlantis PressInternational Journal of Networked and Distributed Computing (IJNDC)2211-79462018-09-016410.2991/ijndc.2018.6.4.4Tracing a Weld Line using Artificial Neural NetworksSrinath Hanumantha RaoV. KalaichelviR. KarthikeyanRobotic manipulators are becoming increasingly popular nowadays with applications in almost every industry and production line. It is difficult but essential to create a common algorithm for the different types of manipulators present in today’s market so that automation can be achieved at a faster rate. This paper aims to present a real-time implementation of a method to control a Tal Brabo! Robotic manipulator to move along a given weld line in order to be utilized in factories for increasing production capacity and decreasing production time. The controller used here is provided by Trio, whose ActiveX component is interfaced to MATLAB. Images were captured to identify weld lines in every possible alignment to find points of interest and the neural network was trained in order to follow a given weld line once the work-piece was placed on the work-table.https://www.atlantis-press.com/article/125905553/viewRobotANNweldingimage processing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Srinath Hanumantha Rao V. Kalaichelvi R. Karthikeyan |
spellingShingle |
Srinath Hanumantha Rao V. Kalaichelvi R. Karthikeyan Tracing a Weld Line using Artificial Neural Networks International Journal of Networked and Distributed Computing (IJNDC) Robot ANN welding image processing |
author_facet |
Srinath Hanumantha Rao V. Kalaichelvi R. Karthikeyan |
author_sort |
Srinath Hanumantha Rao |
title |
Tracing a Weld Line using Artificial Neural Networks |
title_short |
Tracing a Weld Line using Artificial Neural Networks |
title_full |
Tracing a Weld Line using Artificial Neural Networks |
title_fullStr |
Tracing a Weld Line using Artificial Neural Networks |
title_full_unstemmed |
Tracing a Weld Line using Artificial Neural Networks |
title_sort |
tracing a weld line using artificial neural networks |
publisher |
Atlantis Press |
series |
International Journal of Networked and Distributed Computing (IJNDC) |
issn |
2211-7946 |
publishDate |
2018-09-01 |
description |
Robotic manipulators are becoming increasingly popular nowadays with applications in almost every industry and production line. It is difficult but essential to create a common algorithm for the different types of manipulators present in today’s market so that automation can be achieved at a faster rate. This paper aims to present a real-time implementation of a method to control a Tal Brabo! Robotic manipulator to move along a given weld line in order to be utilized in factories for increasing production capacity and decreasing production time. The controller used here is provided by Trio, whose ActiveX component is interfaced to MATLAB. Images were captured to identify weld lines in every possible alignment to find points of interest and the neural network was trained in order to follow a given weld line once the work-piece was placed on the work-table. |
topic |
Robot ANN welding image processing |
url |
https://www.atlantis-press.com/article/125905553/view |
work_keys_str_mv |
AT srinathhanumantharao tracingaweldlineusingartificialneuralnetworks AT vkalaichelvi tracingaweldlineusingartificialneuralnetworks AT rkarthikeyan tracingaweldlineusingartificialneuralnetworks |
_version_ |
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