Applying neural networks as direct controllers in position and trajectory tracking algorithms for holonomic UAVs

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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Bibliographic Details
Main Authors: Cezary Kownacki, Slawomir Romaniuk, Marcin Derlatka
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Artificial potential field
UAV
Quadcopter
Path tracking
Neural networks
Deep neural networks
Online Access:https://doi.org/10.1038/s41598-025-97215-9
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