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Compound continuum manipulator for surgery: Efficient static-based kinematics.
Su, Jing; Zhang, Gang; Wei, Hangxing; Song, Rui; Du, Fuxin.
Afiliação
  • Su J; School of Mechanical Engineering, Shandong University, Jinan, China.
  • Zhang G; School of Mechanical Engineering, Shandong University, Jinan, China.
  • Wei H; Key Laboratory of High-efficiency and Clean Mechanical Manufacture of MOE, Shandong University, Jinan, China.
  • Song R; School of Mechanical Engineering, Shandong University, Jinan, China.
  • Du F; Engineering Research Center of Intelligent Unmanned System of MOE, Shandong University, Jinan, China.
Int J Med Robot ; 19(6): e2561, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37572003
BACKGROUND: The combination of various continuum manipulators is a potential solution to break the bottleneck of continuum manipulators. However, continuum manipulators dissatisfy the constant curvature assumption due to the influence of joints. METHODS: In this paper, a mechanics-based kinematic model of the compound continuum manipulator is proposed, which indicates that the curvature is non-constant. The static model of the manipulator is established, and the relationship of the bending angles is obtained. An efficient static-based Inverse Kinematic Algorithm using Polynomial Curve (IKAPC) of the manipulator is proposed. The polynomial curve is used to fit the end trajectory of the first manipulator. RESULTS: The simulation results show that the IKAPC is 354 times faster than the Levenberg-Marquardt algorithm. The experimental results show that the mechanics-based model improves the position accuracy by 3.75 times over the constant curvature method. CONCLUSION: This paper is critical for solving the inverse kinematics of the compound continuum manipulator.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article