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A machine learning-based probabilistic computational framework for uncertainty quantification of actuation of clustered tensegrity structures
Clustered tensegrity structures integrated with continuous cables are lightweight, foldable, and deployable. Thus, they can be used as flexible manipulators or soft robots. The actuation process of such soft structure has high probabilistic sensitivity. It is essential to quantify the uncertainty of...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985701/ https://www.ncbi.nlm.nih.gov/pubmed/37359778 http://dx.doi.org/10.1007/s00466-023-02284-0 |