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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Main Authors: Simone Comari, Marco Carricato
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
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.
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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