Vision assisted SCARA (selective compliance assembly robot arm)
The study presents a Vision Assisted SCARA. The vision system uses a back propagation neural network to identify and locate seven geometric objects. This information is then used to direct the SCARA robot to pick the objects and place the objects in pre-assigned bins. The neural net was trained to r...
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1997
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oai:animorepository.dlsu.edu.ph:etd_bachelors-92772021-08-25T06:34:23Z Vision assisted SCARA (selective compliance assembly robot arm) Lim, Phyllis Lim, Sam Benedict Luna, Edmund Sotto, Jinky Syling, Christopher A. The study presents a Vision Assisted SCARA. The vision system uses a back propagation neural network to identify and locate seven geometric objects. This information is then used to direct the SCARA robot to pick the objects and place the objects in pre-assigned bins. The neural net was trained to recognize with invariance to location and orientation. Recognition accuracy is 100 percent and the point accuracy of the robot is also 100 percent within a 1 mm tolerance. 1997-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/8632 Bachelor's Theses English Animo Repository Visual programming (computer science) Eye, visual pathways Robotics Information display systems industry Computer-aided software engineering Assembling (Electronic computers) |
institution |
De La Salle University |
building |
De La Salle University Library |
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Asia |
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Philippines Philippines |
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De La Salle University Library |
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DLSU Institutional Repository |
language |
English |
topic |
Visual programming (computer science) Eye, visual pathways Robotics Information display systems industry Computer-aided software engineering Assembling (Electronic computers) |
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Visual programming (computer science) Eye, visual pathways Robotics Information display systems industry Computer-aided software engineering Assembling (Electronic computers) Lim, Phyllis Lim, Sam Benedict Luna, Edmund Sotto, Jinky Syling, Christopher A. Vision assisted SCARA (selective compliance assembly robot arm) |
description |
The study presents a Vision Assisted SCARA. The vision system uses a back propagation neural network to identify and locate seven geometric objects. This information is then used to direct the SCARA robot to pick the objects and place the objects in pre-assigned bins. The neural net was trained to recognize with invariance to location and orientation. Recognition accuracy is 100 percent and the point accuracy of the robot is also 100 percent within a 1 mm tolerance. |
format |
text |
author |
Lim, Phyllis Lim, Sam Benedict Luna, Edmund Sotto, Jinky Syling, Christopher A. |
author_facet |
Lim, Phyllis Lim, Sam Benedict Luna, Edmund Sotto, Jinky Syling, Christopher A. |
author_sort |
Lim, Phyllis |
title |
Vision assisted SCARA (selective compliance assembly robot arm) |
title_short |
Vision assisted SCARA (selective compliance assembly robot arm) |
title_full |
Vision assisted SCARA (selective compliance assembly robot arm) |
title_fullStr |
Vision assisted SCARA (selective compliance assembly robot arm) |
title_full_unstemmed |
Vision assisted SCARA (selective compliance assembly robot arm) |
title_sort |
vision assisted scara (selective compliance assembly robot arm) |
publisher |
Animo Repository |
publishDate |
1997 |
url |
https://animorepository.dlsu.edu.ph/etd_bachelors/8632 |
_version_ |
1712576990988468224 |