Vision-Based Robotic Grasping of Reels for Automatic Packaging Machines
In this work, we present a vision system particularly suited to the automatic recognition of reels in the field of automatic packaging machines. The output of the vision system is used to guide the autonomous grasping of the reels by a robot for a subsequent manipulation task. The proposed solution...
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Format: | Article |
Language: | English |
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MDPI AG
2022-08-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/12/15/7835 |
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author | Simone Comari Marco Carricato |
author_facet | Simone Comari Marco Carricato |
author_sort | Simone Comari |
collection | DOAJ |
description | In this work, we present a vision system particularly suited to the automatic recognition of reels in the field of automatic packaging machines. The output of the vision system is used to guide the autonomous grasping of the reels by a robot for a subsequent manipulation task. The proposed solution is built around three different methods to solve the ellipse-detection problem in an image. Such methods leverage standard image processing and mathematical algorithms, which are tailored to the targeted application. An experimental campaign demonstrates the efficacy of the proposed approach, even in the presence of low computational power and limited hardware resources, as in the use-case at hand. |
first_indexed | 2024-03-09T12:47:10Z |
format | Article |
id | doaj.art-ad5e77e3b2314900b4ac2243bde90725 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-09T12:47:10Z |
publishDate | 2022-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-ad5e77e3b2314900b4ac2243bde907252023-11-30T22:11:39ZengMDPI AGApplied Sciences2076-34172022-08-011215783510.3390/app12157835Vision-Based Robotic Grasping of Reels for Automatic Packaging MachinesSimone Comari0Marco Carricato1Department of Industrial Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, ItalyDepartment of Industrial Engineering, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, ItalyIn this work, we present a vision system particularly suited to the automatic recognition of reels in the field of automatic packaging machines. The output of the vision system is used to guide the autonomous grasping of the reels by a robot for a subsequent manipulation task. The proposed solution is built around three different methods to solve the ellipse-detection problem in an image. Such methods leverage standard image processing and mathematical algorithms, which are tailored to the targeted application. An experimental campaign demonstrates the efficacy of the proposed approach, even in the presence of low computational power and limited hardware resources, as in the use-case at hand.https://www.mdpi.com/2076-3417/12/15/7835computer visionellipse detectionrobotic graspingautomatic machine |
spellingShingle | Simone Comari Marco Carricato Vision-Based Robotic Grasping of Reels for Automatic Packaging Machines Applied Sciences computer vision ellipse detection robotic grasping automatic machine |
title | Vision-Based Robotic Grasping of Reels for Automatic Packaging Machines |
title_full | Vision-Based Robotic Grasping of Reels for Automatic Packaging Machines |
title_fullStr | Vision-Based Robotic Grasping of Reels for Automatic Packaging Machines |
title_full_unstemmed | Vision-Based Robotic Grasping of Reels for Automatic Packaging Machines |
title_short | Vision-Based Robotic Grasping of Reels for Automatic Packaging Machines |
title_sort | vision based robotic grasping of reels for automatic packaging machines |
topic | computer vision ellipse detection robotic grasping automatic machine |
url | https://www.mdpi.com/2076-3417/12/15/7835 |
work_keys_str_mv | AT simonecomari visionbasedroboticgraspingofreelsforautomaticpackagingmachines AT marcocarricato visionbasedroboticgraspingofreelsforautomaticpackagingmachines |