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...

Full description

Bibliographic Details
Main Authors: Pablo Puerto, Ibai Leizea, Imanol Herrera, Asier Barrios
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Robotics
Subjects:
Online Access:https://www.mdpi.com/2218-6581/12/1/10
_version_ 1797618403086696448
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
work_keys_str_mv AT pablopuerto analysesofkeyvariablestoindustrializeamulticamerasystemtoguideroboticarms
AT ibaileizea analysesofkeyvariablestoindustrializeamulticamerasystemtoguideroboticarms
AT imanolherrera analysesofkeyvariablestoindustrializeamulticamerasystemtoguideroboticarms
AT asierbarrios analysesofkeyvariablestoindustrializeamulticamerasystemtoguideroboticarms