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PyElastica is the python implementation of **Elastica**: an *open-source* project for simulating assemblies of slender, one-dimensional structures using Cosserat Rod theory.
With this you get a minimal version with very little dependencies.
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All options:
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-`magnetism`: use this if you want to simulate magnetic Cosserat rods
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interacting with external magnetic environments (details can be found [here](https://github.com/armantekinalp/MagnetoPyElastica)) .
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-`examples`: installs dependencies to run example cases,
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found under the folder `examples`.
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-`docs`: packages to build documentation
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Options can be combined e.g.
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```bash
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pip install "pyelastica[magnetism,examples,docs]"
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```
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Documentation of PyElastica is available [here][link-docs-website].
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Example cases for simulating magnetic Cosserat rods can be found [here](https://github.com/armantekinalp/MagnetoPyElastica).
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## Citation
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We ask that any publications which use Elastica cite as following:
@@ -36,7 +51,7 @@ We ask that any publications which use Elastica cite as following:
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Zhi Dou and
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Chia-Hsien (Cathy) Shih and
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Mattia Gazzola},
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title = {{PyElastica: Open-source software for the
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title = {{PyElastica: Open-source software for the
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simulation of assemblies of slender, one-
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dimensional structures using Cosserat Rod theory}},
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month = feb,
@@ -50,19 +65,22 @@ We ask that any publications which use Elastica cite as following:
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<details>
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<summary><h4>References</h4></summary>
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- Gazzola, Dudte, McCormick, Mahadevan, <strong>Forward and inverse problems in the mechanics of soft filaments</strong>, Royal Society Open Science, 2018. doi: [10.1098/rsos.171628](https://doi.org/10.1098/rsos.171628)
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- Zhang, Chan, Parthasarathy, Gazzola, <strong>Modeling and simulation of complex dynamic musculoskeletal architectures</strong>, Nature Communications, 2019. doi: [10.1038/s41467-019-12759-5](https://doi.org/10.1038/s41467-019-12759-5)
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</details>
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## List of publications and submissions
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-[Control-oriented modeling of bend propagation in an octopus arm](https://arxiv.org/abs/2110.07211) (UIUC, 2021)
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-[Topology, dynamics, and control of an octopus-analog muscular hydrostat](https://arxiv.org/abs/2304.08413) (UIUC, 2023)
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-[Hierarchical control and learning of a foraging CyberOctopus](https://arxiv.org/abs/2302.05811) (UIUC, 2023)
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-[Energy-shaping control of a muscular octopus arm moving in three dimensions](https://royalsocietypublishing.org/doi/full/10.1098/rspa.2022.0593) (UIUC, 2023) (Proceedings of the Royal Society A 2023)
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-[A sensory feedback control law for octopus arm movements](https://ieeexplore.ieee.org/abstract/document/9993021/) (UIUC, 2022) (IEEE CDC 2022)
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-[Control-oriented modeling of bend propagation in an octopus arm](https://ieeexplore.ieee.org/abstract/document/9867689/) (UIUC, 2021) (IEEE ACC 2022)
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-[A physics-informed, vision-based method to reconstruct all deformation modes in slender bodies](https://arxiv.org/abs/2109.08372) (UIUC, 2021) (IEEE ICRA 2022) [code](https://github.com/GazzolaLab/BR2-vision-based-smoothing)
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-[Optimal control of a soft CyberOctopus arm](https://ieeexplore.ieee.org/document/9483284) (UIUC, 2021) (ACC 2021)
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-[Optimal control of a soft CyberOctopus arm](https://ieeexplore.ieee.org/document/9483284) (UIUC, 2021) (IEEE ACC 2021)
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-[Elastica: A compliant mechanics environment for soft robotic control](https://ieeexplore.ieee.org/document/9369003) (UIUC, 2021) (IEEE RA-L 2021)
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-[Controlling a CyberOctopus soft arm with muscle-like actuation](https://arxiv.org/abs/2010.03368) (UIUC, 2020)
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-[Controlling a CyberOctopus soft arm with muscle-like actuation](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9683318) (UIUC, 2020) (IEEE CDC 2021)
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-[Energy shaping control of a CyberOctopus soft arm](https://ieeexplore.ieee.org/document/9304408) (UIUC, 2020) (IEEE CDC 2020)
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