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Collaborative Continuum Robots for Remote Engineering Operations

In situ repair and maintenance of high-value industrial equipment is critical if they are to maintain the ability to continue vital operations. Conventional single-arm continuum robots have been proven numerous times to be successful tools for use in repair operations. However, often more than one a...

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Detalles Bibliográficos
Autores principales: Ma, Nan, Monk, Stephen, Cheneler, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844401/
https://www.ncbi.nlm.nih.gov/pubmed/36648790
http://dx.doi.org/10.3390/biomimetics8010004
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author Ma, Nan
Monk, Stephen
Cheneler, David
author_facet Ma, Nan
Monk, Stephen
Cheneler, David
author_sort Ma, Nan
collection PubMed
description In situ repair and maintenance of high-value industrial equipment is critical if they are to maintain the ability to continue vital operations. Conventional single-arm continuum robots have been proven numerous times to be successful tools for use in repair operations. However, often more than one arm is needed to ensure successful operation within several scenarios; thus, the collaborative operation of multiple arms is required. Here, we present the design and operating principles of a dual-arm continuum robot system designed to perform critical tasks within industrial settings. Here, presented are the design principle of the robotic system, the optimization-based inverse kinematic calculation of the 6-DoF continuum arms, and the collaborative operation strategy. The collaborative principle and algorithms used have been evaluated by a set of experiments to demonstrate the ability of the system to perform in situ machining operations. With the developed prototype and controller, the average error between planned and real toolpaths can be within 2.5 mm.
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spelling pubmed-98444012023-01-18 Collaborative Continuum Robots for Remote Engineering Operations Ma, Nan Monk, Stephen Cheneler, David Biomimetics (Basel) Article In situ repair and maintenance of high-value industrial equipment is critical if they are to maintain the ability to continue vital operations. Conventional single-arm continuum robots have been proven numerous times to be successful tools for use in repair operations. However, often more than one arm is needed to ensure successful operation within several scenarios; thus, the collaborative operation of multiple arms is required. Here, we present the design and operating principles of a dual-arm continuum robot system designed to perform critical tasks within industrial settings. Here, presented are the design principle of the robotic system, the optimization-based inverse kinematic calculation of the 6-DoF continuum arms, and the collaborative operation strategy. The collaborative principle and algorithms used have been evaluated by a set of experiments to demonstrate the ability of the system to perform in situ machining operations. With the developed prototype and controller, the average error between planned and real toolpaths can be within 2.5 mm. MDPI 2022-12-22 /pmc/articles/PMC9844401/ /pubmed/36648790 http://dx.doi.org/10.3390/biomimetics8010004 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
Ma, Nan
Monk, Stephen
Cheneler, David
Collaborative Continuum Robots for Remote Engineering Operations
title Collaborative Continuum Robots for Remote Engineering Operations
title_full Collaborative Continuum Robots for Remote Engineering Operations
title_fullStr Collaborative Continuum Robots for Remote Engineering Operations
title_full_unstemmed Collaborative Continuum Robots for Remote Engineering Operations
title_short Collaborative Continuum Robots for Remote Engineering Operations
title_sort collaborative continuum robots for remote engineering operations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844401/
https://www.ncbi.nlm.nih.gov/pubmed/36648790
http://dx.doi.org/10.3390/biomimetics8010004
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