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Variable Curvature Modeling Method of Soft Continuum Robots with Constraints

Yuwang Liu et al · KeAi Communications Co., Ltd · 2023

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Abstract The inherent compliance of continuum robots holds great promise in the fields of soft manipulation and safe human–robot interaction. This compliance reduces the risk of damage to the manipulated object and its surroundings. However, continuum robots possess theoretically infinite degrees of freedom, and this high flexibility usually leads to complex deformations when subjected to external forces and positional constraints. Describing these complex deformations is the main challenge in modeling continuum robots. In this study, we investigated a novel variable curvature modeling method for continuum robots, considering external forces and positional constraints. The robot configuration curve is described using the developed mechanical model, and then the robot is fitted to the curve. A ten-section continuum robot prototype with a length of 1 m was developed in order to validate the model. The feasibility and accuracy of the model were verified by the ability of the robot to reach target points and track complex trajectories with a load. This work was able to serve as a new perspective for the design analysis and motion control of continuum robots.

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APA 7

al, Y. L. E. (2023). Variable Curvature Modeling Method of Soft Continuum Robots with Constraints. https://doi.org/10.1186/s10033-023-00967-6

MLA

al, Yuwang Liu et. "Variable Curvature Modeling Method of Soft Continuum Robots with Constraints." 2023. https://doi.org/10.1186/s10033-023-00967-6.

Chicago

al, Yuwang Liu et. 2023. "Variable Curvature Modeling Method of Soft Continuum Robots with Constraints.". https://doi.org/10.1186/s10033-023-00967-6.

Harvard

al, Y. L. E. 2023, Variable Curvature Modeling Method of Soft Continuum Robots with Constraints, KeAi Communications Co, Ltd, available at: https://doi.org/10.1186/s10033-023-00967-6 [Accessed 8 Aug. 2026].

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Titolo
Variable Curvature Modeling Method of Soft Continuum Robots with Constraints
Autore / collaboratori
Yuwang Liu et al
Editore
KeAi Communications Co., Ltd
Anno di pubblicazione
2023
ISSN
2192-8258
ISSN
2192-8258
Lingua
Inglés

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