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Affordable Motion Tracking System for Intuitive Programming of Industrial Robots
The paper deals with a lead-through method of programming for industrial robots. The goal is to automatically reproduce 6DoF trajectories of a tool wielded by a human operator demonstrating a motion task. We present a novel motion-tracking system built around the HTC Vive pose estimation system. Our...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269710/ https://www.ncbi.nlm.nih.gov/pubmed/35808453 http://dx.doi.org/10.3390/s22134962 |
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author | Švejda, Martin Goubej, Martin Jáger, Arnold Reitinger, Jan Severa, Ondřej |
author_facet | Švejda, Martin Goubej, Martin Jáger, Arnold Reitinger, Jan Severa, Ondřej |
author_sort | Švejda, Martin |
collection | PubMed |
description | The paper deals with a lead-through method of programming for industrial robots. The goal is to automatically reproduce 6DoF trajectories of a tool wielded by a human operator demonstrating a motion task. We present a novel motion-tracking system built around the HTC Vive pose estimation system. Our solution allows complete automation of the robot teaching process. Specific algorithmic issues of system calibration and motion data post-processing are also discussed, constituting the paper’s theoretical contribution. The motion tracking system is successfully deployed in a pilot application of robot-assisted spray painting. |
format | Online Article Text |
id | pubmed-9269710 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92697102022-07-09 Affordable Motion Tracking System for Intuitive Programming of Industrial Robots Švejda, Martin Goubej, Martin Jáger, Arnold Reitinger, Jan Severa, Ondřej Sensors (Basel) Article The paper deals with a lead-through method of programming for industrial robots. The goal is to automatically reproduce 6DoF trajectories of a tool wielded by a human operator demonstrating a motion task. We present a novel motion-tracking system built around the HTC Vive pose estimation system. Our solution allows complete automation of the robot teaching process. Specific algorithmic issues of system calibration and motion data post-processing are also discussed, constituting the paper’s theoretical contribution. The motion tracking system is successfully deployed in a pilot application of robot-assisted spray painting. MDPI 2022-06-30 /pmc/articles/PMC9269710/ /pubmed/35808453 http://dx.doi.org/10.3390/s22134962 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Švejda, Martin Goubej, Martin Jáger, Arnold Reitinger, Jan Severa, Ondřej Affordable Motion Tracking System for Intuitive Programming of Industrial Robots |
title | Affordable Motion Tracking System for Intuitive Programming of Industrial Robots |
title_full | Affordable Motion Tracking System for Intuitive Programming of Industrial Robots |
title_fullStr | Affordable Motion Tracking System for Intuitive Programming of Industrial Robots |
title_full_unstemmed | Affordable Motion Tracking System for Intuitive Programming of Industrial Robots |
title_short | Affordable Motion Tracking System for Intuitive Programming of Industrial Robots |
title_sort | affordable motion tracking system for intuitive programming of industrial robots |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269710/ https://www.ncbi.nlm.nih.gov/pubmed/35808453 http://dx.doi.org/10.3390/s22134962 |
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