Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs
Abstract This study compares different neural networks as standalone control algorithms for position and trajectory tracking in holonomic UAVs, specifically quadcopters. The research’s novelty lies in applying these algorithms directly for control. A position-tracking algorithm based on the artifici...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-97215-9 |
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