4 papers
SeaVis: Modeling and Control of a Remotely Operated Towed Vehicle for Seabed Visualization and Mapping
Abdelhakim Amer, Aske Alstrup, Frederik Rasmussen +3
High-resolution seafloor mapping necessitates stable and precise positioning for underwater robots. This paper introduces a novel mathematical model for SeaVis remotely operated to…
REACT: Real-time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles
Abdelhakim Amer, Mohit Mehindratta, Yury Brodskiy +2
Inspection of underwater structures with tethered underwater vehicles is often hindered by the risk of tether entanglement. We propose REACT (real-time entanglement-aware coverage…
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Abdelhakim Amer, David Felsager, Yury Brodskiy +1
Physics-informed neural networks (PINNs) integrate physical laws with data-driven models to improve generalization and sample efficiency. This work introduces an open-source implem…
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines
Olaya Alvarez-Tunon, Yury Brodskiy, Erdal Kayacan
With the rise of deep learning, there is a fundamental change in visual SLAM algorithms toward developing different modules trained as end-to-end pipelines. However, regardless of…