Physics-informed reinforcement learning for motion control of a fish-like swimming robot

Motion control of fish-like swimming robots presents many challenges due to the unstructured environment and unmodelled governing physics of the fluid–robot interaction. Commonly used low-fidelity control models using simplified formulas for drag and lift forces do not capture key physics that can p...

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Detalles Bibliográficos
Autores principales: Rodwell, Colin, Tallapragada, Phanindra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318098/
https://www.ncbi.nlm.nih.gov/pubmed/37400473
http://dx.doi.org/10.1038/s41598-023-36399-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318098/
https://www.ncbi.nlm.nih.gov/pubmed/37400473
http://dx.doi.org/10.1038/s41598-023-36399-4

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