Dynamic modeling and path planning of a hybrid autonomous underwater vehicle. - Bilal Wehbe; Elie A. Shammas; Joseph Zeaiter; Daniel C. Asmar (ROBIO, 2014)

A novel method to generate three-dimensional paths for vehicles with bounded pitch and yaw. - Bilal Wehbe; Elie A. Shammas; Daniel C. Asmar (AIM, 2015)

Experimental evaluation of various machine learning regression methods for model identification of autonomous underwater vehicles. - Bilal Wehbe; Marc Hildebrandt; Frank Kirchner (ICRA, 2017)

Online model identification for underwater vehicles through incremental support vector regression. - Bilal Wehbe; Alexander Fabisch; Mario Michael Krell (IROS, 2017)

Novel three-dimensional optimal path planning method for vehicles with constrained pitch and yaw. - Bilal Wehbe; Salah Bazzi; Elie A. Shammas (Robotica, 2017)

Learning of Multi-Context Models for Autonomous Underwater Vehicles. - Bilal Wehbe; Octavio Arriaga; Mario Michael Krell; Frank Kirchner (CoRR, 2018)

A Framework for On-line Learning of Underwater Vehicles Dynamic Models. - Bilal Wehbe; Marc Hildebrandt; Frank Kirchner (ICRA, 2019)

Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics. - Matias Valdenegro-Toro; Mariela De Lucas Alvarez; Mariia Dmitrieva; Bilal Wehbe; Georgios Salavasidis; Shahab Heshmati-Alamdari; Juan F. Fuentes-Pérez; Veronika Yordanova; Klemen Istenic; Thomas Guerneve (CoRR, 2019)

A First Step Towards Distribution Invariant Regression Metrics. - Mario Michael Krell; Bilal Wehbe (CoRR, 2020)

Pre-trained Models for Sonar Images. - Matias Valdenegro-Toro; Alan Preciado-Grijalva; Bilal Wehbe (CoRR, 2021)

Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study. - Mihir Patil; Bilal Wehbe; Matias Valdenegro-Toro (CoRR, 2021)

Self-supervised Learning for Sonar Image Classification. - Alan Preciado-Grijalva; Bilal Wehbe; Miguel Bande Firvida; Matias Valdenegro-Toro (CVPR Workshops, 2022)

Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction. - Sascha Arnold; Bilal Wehbe (ICRA, 2022)

Sonar2Depth: Acoustic-Based 3D Reconstruction Using cGANs. - Nael Jaber; Bilal Wehbe; Frank Kirchner (IROS, 2023)

SAVOR: Sonar-Aided Visual Odometry and Reconstruction for Autonomous Underwater Vehicles*. - Jeremy Paul Coffelt; Peter Kampmann; Bilal Wehbe (IROS, 2024)

AUV trajectory optimization with hydrodynamic forces for Icy Moon Exploration. - Lukas Rust; Shubham Vyas; Bilal Wehbe (CoRR, 2024)

NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems. - Laura Weihl; Bilal Wehbe; Andrzej Wasowski (CoRR, 2024)

The Marine Debris Forward-Looking Sonar Datasets. - Matias Valdenegro-Toro; Deepan Chakravarthi Padmanabhan; Deepak Singh; Bilal Wehbe; Yvan Petillot (CoRR, 2025)

Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty. - Michal Tesnar; Bilal Wehbe; Matias Valdenegro-Toro (CoRR, 2025)

REACT: Real-time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles. - Abdelhakim Amer; Mohit Mehindratta; Yury Brodskiy; Bilal Wehbe; Erdal Kayacan (CoRR, 2025)

MV3D: Multi-View 3D Reconstruction of Objects Using Forward-Looking Sonar. - Nael Jaber; Bilal Wehbe; Leif Christensen; Frank Kirchner (IEEE Robotics Autom. Lett., 2025)