4 papers
3D Underwater Path Planning via Generative Flow Field Surrogates
Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1
Autonomous underwater vehicle (AUV) launch and recovery (LAR) into the hull of an advancing host platform requires traversal of a complex, three-dimensional propeller wake whose hy…
WAKESET: A Large-Scale, High-Reynolds Number Flow Dataset for Machine Learning of Turbulent Wake Dynamics
Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1
Machine learning (ML) offers transformative potential for computational fluid dynamics (CFD), promising to accelerate simulations, improve turbulence modelling, and enable real-tim…
Wake-Informed 3D Path Planning for Autonomous Underwater Vehicles Using A* and Neural Network Approximations
Zachary Cooper-Baldock, Stephen Turnock, Karl Sammut
Autonomous Underwater Vehicles (AUVs) encounter significant energy, control and navigation challenges in complex underwater environments, particularly during close-proximity operat…
A generalised novel loss function for computational fluid dynamics
Zachary Cooper-Baldock, Paulo E. Santos, Russell S. A. Brinkworth +1
Computational fluid dynamics (CFD) simulations are crucial in automotive, aerospace, maritime and medical applications, but are limited by the complexity, cost and computational re…