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Model-Based Control of Soft Actuators Using Learned Non-linear Discrete-Time Models
Soft robots have the potential to significantly change the way that robots interact with the environment and with humans. However, accurately modeling soft robot and soft actuator dynamics in order to perform model-based control can be extremely difficult. Deep neural networks are a powerful tool fo...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805923/ https://www.ncbi.nlm.nih.gov/pubmed/33501038 http://dx.doi.org/10.3389/frobt.2019.00022 |