A Recurrent Neural-Network-Based Real-Time Dynamic Model for Soft Continuum Manipulators

This paper introduces and validates a real-time dynamic predictive model based on a neural network approach for soft continuum manipulators. The presented model provides a real-time prediction framework using neural-network-based strategies and continuum mechanics principles. A time-space integratio...

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Detalles Bibliográficos
Autores principales: Tariverdi, Abbas, Venkiteswaran, Venkatasubramanian Kalpathy, Richter, Michiel, Elle, Ole J., Tørresen, Jim, Mathiassen, Kim, Misra, Sarthak, Martinsen, Ørjan G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044932/
https://www.ncbi.nlm.nih.gov/pubmed/33869294
http://dx.doi.org/10.3389/frobt.2021.631303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044932/
https://www.ncbi.nlm.nih.gov/pubmed/33869294
http://dx.doi.org/10.3389/frobt.2021.631303

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