activity
20182025
most citedA First Step Towards Distribution Invariant Regression Metrics

2 citations · 6 across the 10 of their papers we have counts for

collaborators

13 papers

cs.RO2025

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…

cs.LG2025

Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty

Michal Tešnar, Bilal Wehbe, Matias Valdenegro-Toro

Machine learning proves effective in constructing dynamics models from data, especially for underwater vehicles. Continuous refinement of these models using incoming data streams,…

cs.CV2025

The Marine Debris Forward-Looking Sonar Datasets

Matias Valdenegro-Toro, Deepan Chakravarthi Padmanabhan, Deepak Singh +2

Sonar sensing is fundamental for underwater robotics, but limited by capabilities of AI systems, which need large training datasets. Public data in sonar modalities is lacking. Thi…

cs.CV2024

NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems

Laura Weihl, Bilal Wehbe, Andrzej Wąsowski

Autonomous inspection of infrastructure on land and in water is a quickly growing market, with applications including surveying constructions, monitoring plants, and tracking envir…

cs.RO2024

AUV trajectory optimization with hydrodynamic forces for Icy Moon Exploration

Lukas Rust, Shubham Vyas, Bilal Wehbe

To explore oceans on ice-covered moons in the solar system, energy-efficient Autonomous Underwater Vehicles (AUVs) with long ranges must cover enough distance to record and collect…

cs.RO2022★ 2 cited

Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction

Sascha Arnold, Bilal Wehbe

In this work we present a novel method for reconstructing 3D surfaces using a multi-beam imaging sonar. We integrate the intensities measured by the sonar from different viewpoints…