Analyses of Key Variables to Industrialize a Multi-Camera System to Guide Robotic Arms
Robotic arms are widely used in sectors such as automotive or assembly logistics due to their flexibility and cost. Other manufacturing sectors would like to take advantage of this technology, however, higher accuracy is required for their purposes. This paper integrated a multi-camera system to ach...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2023-01-01
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Series: | Robotics |
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Online Access: | https://www.mdpi.com/2218-6581/12/1/10 |
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author | Pablo Puerto Ibai Leizea Imanol Herrera Asier Barrios |
author_facet | Pablo Puerto Ibai Leizea Imanol Herrera Asier Barrios |
author_sort | Pablo Puerto |
collection | DOAJ |
description | Robotic arms are widely used in sectors such as automotive or assembly logistics due to their flexibility and cost. Other manufacturing sectors would like to take advantage of this technology, however, higher accuracy is required for their purposes. This paper integrated a multi-camera system to achieve the requirements for milling and drilling tasks in aeronautic parts. A closed-loop framework allows the position of the robot’s end-effector to be corrected with respect to a static reference. This is due to the multi-camera system tracking the position of both elements due to the passive targets on their surface. The challenge is to find an auxiliary system to measure these targets with an uncertainty that allows the desired accuracy to be achieved in high volumes (>3 m<sup>3</sup>). Firstly, in a reduced scenario, a coordinate measuring machine (CMM), a laser tracker (LT), and portable photogrammetry (PP) have been compared following the guidelines from VDI/VDE 2634-part 1. The conclusions allowed us to jump into an industrial scenario and run a similar test with a higher payload than in the laboratory. The article ends with an application example demonstrating the suitability of the solution. |
first_indexed | 2024-03-11T08:12:25Z |
format | Article |
id | doaj.art-fb1b04f9c2204edd8c5e076f8fa584ca |
institution | Directory Open Access Journal |
issn | 2218-6581 |
language | English |
last_indexed | 2024-03-11T08:12:25Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Robotics |
spelling | doaj.art-fb1b04f9c2204edd8c5e076f8fa584ca2023-11-16T23:05:18ZengMDPI AGRobotics2218-65812023-01-011211010.3390/robotics12010010Analyses of Key Variables to Industrialize a Multi-Camera System to Guide Robotic ArmsPablo Puerto0Ibai Leizea1Imanol Herrera2Asier Barrios3IDEKO, Basque Research and Technology Alliance (BRTA), 20870 Elgoibar, SpainIDEKO, Basque Research and Technology Alliance (BRTA), 20870 Elgoibar, SpainIDEKO, Basque Research and Technology Alliance (BRTA), 20870 Elgoibar, SpainIDEKO, Basque Research and Technology Alliance (BRTA), 20870 Elgoibar, SpainRobotic arms are widely used in sectors such as automotive or assembly logistics due to their flexibility and cost. Other manufacturing sectors would like to take advantage of this technology, however, higher accuracy is required for their purposes. This paper integrated a multi-camera system to achieve the requirements for milling and drilling tasks in aeronautic parts. A closed-loop framework allows the position of the robot’s end-effector to be corrected with respect to a static reference. This is due to the multi-camera system tracking the position of both elements due to the passive targets on their surface. The challenge is to find an auxiliary system to measure these targets with an uncertainty that allows the desired accuracy to be achieved in high volumes (>3 m<sup>3</sup>). Firstly, in a reduced scenario, a coordinate measuring machine (CMM), a laser tracker (LT), and portable photogrammetry (PP) have been compared following the guidelines from VDI/VDE 2634-part 1. The conclusions allowed us to jump into an industrial scenario and run a similar test with a higher payload than in the laboratory. The article ends with an application example demonstrating the suitability of the solution.https://www.mdpi.com/2218-6581/12/1/10robotic armaccuracyvision systemmulti-cameraguided robot |
spellingShingle | Pablo Puerto Ibai Leizea Imanol Herrera Asier Barrios Analyses of Key Variables to Industrialize a Multi-Camera System to Guide Robotic Arms Robotics robotic arm accuracy vision system multi-camera guided robot |
title | Analyses of Key Variables to Industrialize a Multi-Camera System to Guide Robotic Arms |
title_full | Analyses of Key Variables to Industrialize a Multi-Camera System to Guide Robotic Arms |
title_fullStr | Analyses of Key Variables to Industrialize a Multi-Camera System to Guide Robotic Arms |
title_full_unstemmed | Analyses of Key Variables to Industrialize a Multi-Camera System to Guide Robotic Arms |
title_short | Analyses of Key Variables to Industrialize a Multi-Camera System to Guide Robotic Arms |
title_sort | analyses of key variables to industrialize a multi camera system to guide robotic arms |
topic | robotic arm accuracy vision system multi-camera guided robot |
url | https://www.mdpi.com/2218-6581/12/1/10 |
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