Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
|
| Materias: | |
| 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 |