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Dynamic Model of a Multibending Soft Robot Arm Driven by Cables

Open access
Renda, Federico, Giorelli, Michele, Calisti, Marcello, Cianchetti, Matteo, Laschi, Cecilia·2014·IEEE Transactions on Robotics

Abstract

The new and promising field of soft robotics has many open areas of research such as the development of an exhaustive theoretical and methodological approach to dynamic modeling. To help contribute to this area of research, this paper develops a dynamic model of a continuum soft robot arm driven by cables and based upon a rigorous geometrically exact approach. The model fully investigates both dynamic interaction with a dense medium and the coupled tendon condition. The model was experimentally validated with satisfactory results, using a soft robot arm working prototype inspired by the octopus arm and capable of multibending. Experimental validation was performed for the octopus most characteristic movements: bending, reaching, and fetching. The present model can be used in the design phase as a dynamic simulation platform and to design the control strategy of a continuum robot arm moving in a dense medium.

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Metadata

Authors
Renda, F., Giorelli, M., Calisti, M., Cianchetti, M., & Laschi, C.
Venue
IEEE Transactions on Robotics
Published
2014-10
Volume
30
Issue
5
Pages
1109-1122
ISSN
  • 1552-3098 (ISSN-L)
  • 1941-0468
OpenAlex
W2073677587
Cited by
482
References
0
FWCI
9.10
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dynamic Model of a Multibending Soft Robot Arm Driven by Cables. https://app.cochat.ai/papers/10.1109/tro.2014.2325992
The paper
Renda, F., Giorelli, M., Calisti, M., Cianchetti, M., & Laschi, C. (2014). Dynamic Model of a Multibending Soft Robot Arm Driven by Cables. IEEE Transactions on Robotics. https://doi.org/10.1109/tro.2014.2325992

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.