A physics-informed neural network approach to augmented dynamics visual servoing of multirotors
This paper presents a visual servoing strategy that integrates the capabilities of a Physics-informed Neural Network (PINN) to estimate system uncertainties and inaccuracies with a dynamics-centered visual servoing technique for multi-rotors. The proposed method effectively combines these approaches...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/182035 |