Quasi-Static Cosserat Rods in Contact With Implicit Surfaces

We propose a method for the quasi-static solution of Cosserat rods in contact with implicit surfaces. By leveraging the strain parameterization reduction approach, the quasi-static evolution is computed by solving an ordinary differential equation (ODE). To address the inherent stiffness of the ODE, we employ implicit solvers and derive the Jacobian matrix analytically. The smoothness of the functions defining our contact surfaces enables the use of implicit solvers. Numerical results show the stability of the proposed method in challenging contact scenarios, as well as improvements in computational time by two orders of magnitude compared to the use of explicit solvers. Our implementation is open-source and can be found at gitlab.inria.fr/rjilani/ral2024.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-05-14
DOI
https://doi.org/10.1109/lra.2025.3570131
Citations
1
Primary Topic
Adhesion, Friction, and Surface Interactions
Type
article
Field-Weighted Citation Impact
0.86
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article

Quasi-Static Cosserat Rods in Contact With Implicit Surfaces

Pierre-Frédéric Villard, Erwan Kerrien, Radhouane Jilani
1 citations
IEEE Robotics and Automation Letters
Adhesion, Friction, and Surface Interactions
0.86
article

Quasi-Static Cosserat Rods in Contact With Implicit Surfaces

Pierre-Frédéric Villard, Erwan Kerrien, Radhouane Jilani
article en
1 citations

Abstract

We propose a method for the quasi-static solution of Cosserat rods in contact with implicit surfaces. By leveraging the strain parameterization reduction approach, the quasi-static evolution is computed by solving an ordinary differential equation (ODE). To address the inherent stiffness of the ODE, we employ implicit solvers and derive the Jacobian matrix analytically. The smoothness of the functions defining our contact surfaces enables the use of implicit solvers. Numerical results show the stability of the proposed method in challenging contact scenarios, as well as improvements in computational time by two orders of magnitude compared to the use of explicit solvers. Our implementation is open-source and can be found at gitlab.inria.fr/rjilani/ral2024.

IEEE Robotics and Automation LettersVol. 10(7)
Centre National de la Recherche Scientifique (FR), Laboratoire Lorrain de Recherche en Informatique et ses Applications (FR), Université de Lorraine (FR)
Openalex Percentile: Top 31%
Adhesion, Friction, and Surface Interactions
0.86
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