Physics-Informed Neural Network for Multirotor Slung Load Systems Modeling

Recent advances in aerial robotics have enabled the use of multirotor vehicles for autonomous payload transportation. Resorting only to classical methods to reliably model a quadrotor carrying a cable-slung load poses significant challenges. On the other hand, purely data-driven learning methods do...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2024-05
Hauptverfasser:	Serrano, Gil, Jacinto, Marcelo, Ribeiro-Gomes, Jose, Pinto, Joao, Guerreiro, Bruno J, Bernardino, Alexandre, Cunha, Rita
Format:	Artikel
Sprache:	eng
Schlagworte:	First principles Neural networks Physics Regularization Robotics Slack variables
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!