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Cited by 336

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

Soft Robots Modeling: A Structured Overview

Open access
Armanini, Costanza, Boyer, Frédéric, Mathew, Anup Teejo, Duriez, Christian, Renda, Federico·2023·IEEE Transactions on Robotics

Abstract

The robotics community has seen an exponential growth in the level of complexity of the theoretical tools presented for the modeling of soft robotics devices. Different solutions have been presented to overcome the difficulties related to the modeling of soft robots, often leveraging on other scientific disciplines, such as continuum mechanics, computational mechanics, and computer graphics. These theoretical and computational foundations are often taken for granted and this leads to an intricate literature that, consequently, has rarely been the subject of a complete review. For the first time, we present here a structured overview of all the approaches proposed so far to model soft robots. The chosen classification, which is based on their theoretical and numerical grounds, allows us to provide a critical analysis about their uses and applicability. This will enable robotics researchers to learn the basics of these modeling techniques and their associated numerical methods, but also to have a critical perspective on their uses.

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Crossref · 10.1109/tro.2022.3231360

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Metadata

Authors
Armanini, C., Boyer, F., Mathew, A. T., Duriez, C., & Renda, F.
Venue
IEEE Transactions on Robotics
Published
2023-06
Volume
39
Issue
3
Pages
1728-1748
ISSN
  • 1552-3098 (ISSN-L)
  • 1941-0468
OpenAlex
W4313639260
Cited by
336
References
98
FWCI
24.43
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Soft Robots Modeling: A Structured Overview. https://app.cochat.ai/papers/10.1109/tro.2022.3231360
The paper
Armanini, C., Boyer, F., Mathew, A. T., Duriez, C., & Renda, F. (2023). Soft Robots Modeling: A Structured Overview. IEEE Transactions on Robotics. https://doi.org/10.1109/tro.2022.3231360

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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