arXiv Machine Learning June 19, 2026 By Aobo Wang, Aifei Xia, Zihao Wang, Lizhu Hao

A Differentiable Composite Approximation Framework for Autonomous Underwater Vehicle Maneuvering Modeling from Sea-Trial Data

Read the original on arXiv Machine Learning →

arXiv:2606. 19711v1 Announce Type: cross Abstract: Field-based modeling from onboard measurements can produce autonomous underwater vehicle (AUV) maneuvering models that reflect real operating characteristics.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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Regularized Machine Learning for System Identification of Ship Free-Running Manoeuvres from CFD-Based Synthetic Data: A Comparative Study

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