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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...

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Autores principales: Wei, Hangxing, Zhang, Gang, Wang, Shengsong, Zhang, Peng, Su, Jing, Du, Fuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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