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Coupling Analysis of Compound Continuum Robots for Surgery: Another Line of Thought
The compound continuum robot employs both concentric tube components and cable-driven continuum components to achieve its complex motions. Nevertheless, the interaction between these components causes coupling, which inevitably leads to reduced accuracy. Consequently, researchers have been striving...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384598/ https://www.ncbi.nlm.nih.gov/pubmed/37514701 http://dx.doi.org/10.3390/s23146407 |
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author | Wei, Hangxing Zhang, Gang Wang, Shengsong Zhang, Peng Su, Jing Du, Fuxin |
author_facet | Wei, Hangxing Zhang, Gang Wang, Shengsong Zhang, Peng Su, Jing Du, Fuxin |
author_sort | Wei, Hangxing |
collection | PubMed |
description | The compound continuum robot employs both concentric tube components and cable-driven continuum components to achieve its complex motions. Nevertheless, the interaction between these components causes coupling, which inevitably leads to reduced accuracy. Consequently, researchers have been striving to mitigate and compensate for this coupling-induced error in order to enhance the overall performance of the robot. This paper leverages the coupling between the components of the compound continuum robot to accomplish specific surgical procedures. Specifically, the internal concentric tube component is utilized to induce motion in the cable-driven external component, which generates coupled motion under the constraints of the cable. This approach enables the realization of high-precision surgical operations. Specifically, a kinematic model for the proposed robot is established, and an inverse kinematic algorithm is developed. In this inverse kinematic algorithm, the solution of a highly nonlinear system of equations is simplified into the solution of a single nonlinear equation. To demonstrate the effectiveness of the proposed approach, simulations are conducted to evaluate the efficiency of the algorithm. The simulations conducted in this study indicate that the proposed inverse kinematic (IK) algorithm improves computational speed by a significant margin. Specifically, it achieves a speedup of 2.8 × 10(3) over the Levenberg–Marquardt (LM) method. In addition, experimental results demonstrate that the coupled-motion system achieves high levels of accuracy. Specifically, the repetitive positioning accuracy is measured to be 0.9 mm, and the tracking accuracy is 1.5 mm. This paper is significant for dealing with the coupling of the compound continuum robot. |
format | Online Article Text |
id | pubmed-10384598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103845982023-07-30 Coupling Analysis of Compound Continuum Robots for Surgery: Another Line of Thought Wei, Hangxing Zhang, Gang Wang, Shengsong Zhang, Peng Su, Jing Du, Fuxin Sensors (Basel) Article The compound continuum robot employs both concentric tube components and cable-driven continuum components to achieve its complex motions. Nevertheless, the interaction between these components causes coupling, which inevitably leads to reduced accuracy. Consequently, researchers have been striving to mitigate and compensate for this coupling-induced error in order to enhance the overall performance of the robot. This paper leverages the coupling between the components of the compound continuum robot to accomplish specific surgical procedures. Specifically, the internal concentric tube component is utilized to induce motion in the cable-driven external component, which generates coupled motion under the constraints of the cable. This approach enables the realization of high-precision surgical operations. Specifically, a kinematic model for the proposed robot is established, and an inverse kinematic algorithm is developed. In this inverse kinematic algorithm, the solution of a highly nonlinear system of equations is simplified into the solution of a single nonlinear equation. To demonstrate the effectiveness of the proposed approach, simulations are conducted to evaluate the efficiency of the algorithm. The simulations conducted in this study indicate that the proposed inverse kinematic (IK) algorithm improves computational speed by a significant margin. Specifically, it achieves a speedup of 2.8 × 10(3) over the Levenberg–Marquardt (LM) method. In addition, experimental results demonstrate that the coupled-motion system achieves high levels of accuracy. Specifically, the repetitive positioning accuracy is measured to be 0.9 mm, and the tracking accuracy is 1.5 mm. This paper is significant for dealing with the coupling of the compound continuum robot. MDPI 2023-07-14 /pmc/articles/PMC10384598/ /pubmed/37514701 http://dx.doi.org/10.3390/s23146407 Text en © 2023 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 Wei, Hangxing Zhang, Gang Wang, Shengsong Zhang, Peng Su, Jing Du, Fuxin Coupling Analysis of Compound Continuum Robots for Surgery: Another Line of Thought |
title | Coupling Analysis of Compound Continuum Robots for Surgery: Another Line of Thought |
title_full | Coupling Analysis of Compound Continuum Robots for Surgery: Another Line of Thought |
title_fullStr | Coupling Analysis of Compound Continuum Robots for Surgery: Another Line of Thought |
title_full_unstemmed | Coupling Analysis of Compound Continuum Robots for Surgery: Another Line of Thought |
title_short | Coupling Analysis of Compound Continuum Robots for Surgery: Another Line of Thought |
title_sort | coupling analysis of compound continuum robots for surgery: another line of thought |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384598/ https://www.ncbi.nlm.nih.gov/pubmed/37514701 http://dx.doi.org/10.3390/s23146407 |
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