Mitarbeiter

Dr.-Ing. Bilal Wehbe

Organisation : DFKI GmbH
Bereich : Robotics Innovation Center
Status : Mitarbeiter
Raumnr. HB : S 2.05
Adresse HB : Robert-Hooke-Str. 1
28359 Bremen
Telefon HB : +49 421 17845 4168
E-Mail schreiben


Publikationen

2024

Deep Reinforcement Learning for Path-Following Control of an Autonomous Surface Vehicle using Domain Randomization
Tom Vincent Slawik, Bilal Wehbe, Leif Christensen
In 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, 2024, (CAMS-2024), 03.9.-05.9.2024, Blacksburg, Virginia, n.n., Sep/2024.
A Deep-Learning Approach for Visual Detection of an AUV Docking Station
Faraz Ahmad, Tom Creutz, Christian Ernst Siegfried Koch, Bilal Wehbe
In Proceedings of Oceans 2024, (OCEANS-2024), 23.9.-26.9.2024, Halifax, IEEE, 2024.

2023

Towards Robust Autonomous Underwater Docking for Long-Term Under-Ice Exploration
Tom Creutz, Bilal Wehbe, Sascha Arnold, Marc Hildebrandt
In Proceedings of Oceans 2023, (OCEANS-2023), 05.6.-08.6.2023, Limerick, IEEE, 2023.
AUV Trajectory Optimization with hydrodynamic forces for icy moon exploration
Lukas Rust, Bilal Wehbe, Shubham Vyas
In Proceedings of the 17th Symposium on Advanced Space Technologies in Robotics and Automation, (ASTRA-2023), 18.10.-20.10.2023, Leiden, -, Keplerlaan 1, 2201 AZ Noordwijk, Niederlande, 2023. European Space Agency.
Sonar2Depth: Acoustic-Based 3D Reconstruction Using cGANs
Nael Jaber, Bilal Wehbe, Frank Kirchner
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (IROS-2023), 01.10.-05.10.2023, Detroit, IEEE, 2023.

2022

Sonar-to-RGB Image Translation for Diver Monitoring in Poor Visibility Environments
Bilal Wehbe, Nimish Shrenik Shah, Miguel Bande Firvida, Christian Backe
In OCEANS 2022, Hampton Roads, (OCEANS-2022), 17.10.-20.10.2022, OCEANS IEEE, pages 1-9, Oct/2022.
Recent Advances in AI for Navigation and Control of Underwater Robots
Leif Christensen, José de Gea Fernández, Marc Hildebrandt, Christian Ernst Siegfried Koch, Bilal Wehbe
Editors: Springer
In Current Robotics Reports, Springer, volume n.n., pages n.n.-n.n., Jul/2022.
Quaternion based LQR for Free-Floating Robots without Gravity
Shubham Vyas, Bilal Wehbe, Shivesh Kumar
In 6th CEAS Conference on Guidance, Navigation, and Control, (EuroGNC-2022), 3.5.-5.5.2022, Berlin, CEAS, May/2022.
Self-supervised Learning for Sonar Image Classification
Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro
Editors: Alan Preciado-Grijalva, Bilal Wehbe, Miguel Bande Firvida, Matias Valdenegro-Toro
In Self-supervised Learning for Sonar Image Classification, (CVPR-2022), 19.6.-20.6.2022, New Orleans, LA, IEEE, pages 1498-1507, 2022. IEEE. ISBN: 978-1-6654-8739-9.
Under-Ice Field tests with an AUV in Abisko/Torneträsk
Marc Hildebrandt, Tom Creutz, Bilal Wehbe, Marius Wirtz, Michael Zipper
In OCEANS 2022 - Hampton Roads, (OCEANS-2022), 17.10.-20.10.2022, Virginia Beach, Virginia, IEEE, 2022.
Spatial Acoustic Projection for 3D Imaging Sonar Reconstruction
Sascha Arnold, Bilal Wehbe
Editors: 2022 IEEE International Conference on Robotics and Automation (ICRA)
In 2022 International Conference on Robotics and Automation (ICRA), (ICRA-2022), IEEE, 2022.

2021

Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study
Mihir Patil, Bilal Wehbe, Matias Valdenegro-Toro
In Global OCEANS 2021, (OCEANS-2021), 20.9.-23.9.2021, San Diego, CA, IEEE, Sep/2021. IEEE.
Pre-trained Models for Sonar Images
Matias Valdenegro-Toro, Alan Preciado, Bilal Wehbe
In Global OCEANS 2021, (OCEANS), 20.9.-23.9.2021, San Diego, CA, IEEE, 2021. IEEE.
Online Model Adaptation of Autonomous Underwater Vehicles with LSTM Networks
Miguel Bande Firvida, Bilal Wehbe
Editors: Miguel Bande Firvida, Bilal Wehbe
In Online Model Adaptation of Autonomous Underwater Vehicles with LSTM Networks, (OCEANS-2021), 20.9.-12.9.2021, Porto, IEEE, pages 1-6, 2021. IEEE. ISBN: 978-0-692-93559-0.

2020

Machine Learning and Dynamic Whole Body Control for Underwater Manipulation
José de Gea Fernández, Christian Ott, Bilal Wehbe
In AI Technology for Underwater Robots, Springer International Publishing, pages 107-115, Oct/2020. ISBN: 978-3-030-30683-0.
From epi-to bathypelagic: Transformation of a compact auv system for long-term deployments
Marc Hildebrandt, Sascha Arnold, Philipp Kloss, Bilal Wehbe, Michael Zipper
In 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), (AUV-2020), Memorial University of Newfoundland, St. John's, NL, IEEE, pages 1-6, 2020. IEEE.

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 Francisco Fuentes-Pérez, Veronika Yordanova, Klemen Istenic, Thomas Guerneve
Oct/2019.
A Framework for On-line Learning of Underwater Vehicles Dynamic Models
Bilal Wehbe, Marc Hildebrandt, Frank Kirchner
In International Conference on Robotics and Automation, (ICRA-2019), 20.5.-24.5.2019, Montréal, Québec, IEEE, 2019. IEEE Robotics and Automation Society.

2018

Learning of Multi-Context Models for Autonomous Underwater Vehicles
Bilal Wehbe, Luis Octavio Arriaga Camargo, Mario Michael Krell, Frank Kirchner
In Proceedings of the AUV 2018 IEEE/OES Porto, (AUV-2018), 6.11.-9.11.2018, Porto, IEEE, Nov/2018. IEEE/OES.
A Common Data Fusion Framework For Space Robotics: Architecture And Data Fusion Methods
Raúl Domínguez, Romain Michalec, Nassir W. Oumer, Fabrice Souvannavong, Mark Post, Shashank Govindaraj, Alexander Fabisch, Bilal Wehbe, Jérémi Gancet, Alessandro Bianco, Simon Lacroix, Andrea De Maio, Quentin Labourey, Vincent Bissonnette, Michal Smí¨ek, Xiu Yan
In Proceedings of the 14th International Symposium on Artificial Intelligence, (iSAIRAS-2018), 04.6.-06.6.2018, Madrid, ESA, Jun/2018.
InFuse Data Fusion Methodology for Space Robotics, Awareness and Machine Learning
Mark Post, Romain Michalec​, Alessandro Bianco, Xiu Yan, Andrea De Maio​, Quentin Labourey, Simon Lacroix, Jeremi Gancet​, Shashank Govindaraj, Xavier Martinez-Gonzalez​, Iyas Dalati, Raúl Domínguez, Bilal Wehbe, Alexander Fabisch​, Enno Röhrig, Fabrice Souvannavong, Vincent Bissonnette, Michal Smí¨ek, Nassir W. Oumer, Lukas Meyer, Rudolph Triebel, Zoltán-Csaba Márton
In 69​th​ International Astronautical Congress (IAC), (IAC-2018), 01.10.-05.10.2018, Bremen, o.A., 2018. International Astronautical Federation.

2017

Online Model Identification for Underwater Vehicles through Incremental Support Vector Regression
Bilal Wehbe, Alexander Fabisch, Mario Michael Krell
In IEEE/RSJ, (IROS-17), 24.9.-28.9.2017, Vancouver, British Columbia, IEEE, pages 4173-4180, Sep/2017. IEEE/RSJ. ISBN: 9781538626818.
Learning Coupled Dynamic Models of Underwater Vehicles using Support Vector Regression
Bilal Wehbe, Mario Michael Krell
In Proceeding of Oceans '17 MTS/IEEE Aberdeen, (OCEANS-17), 19.6.-22.6.2017, Aberdeen, IEEE, Jun/2017. MTS/IEEE. ISBN: 9781509052783.
AUVx - A Novel Miniaturized Autonomous Underwater Vehicle
Editors: Hendrik Hanff, Philipp Kloss, Bilal Wehbe, Peter Kampmann, Sven Kroffke, Aljoscha Sander, Miguel Bande Firvida, Maria von Einem, Jan Frederik Bode, Frank Kirchner
(OCEANS-17), 19.6.-22.6.2017, Aberdeen, o.A., Jun/2017. IEEE.
Experimental Evaluation of Various Machine Learning Regression Methods for Model Identification of Autonomous Underwater Vehicles
Bilal Wehbe, Marc Hidebrandt, Frank Kirchner
In Proceedings of 2017 International Conference on Robotics and Automation (ICRA), (ICRA-17), 29.5.-3.6.2017, Sands Expo and Convention Centre, IEEE, pages 4885-4890, May/2017. IEEE Robotics and Automation Society. ISBN: 9781509046324.
InFuse : a comprehensive framework for data fusion in space robotics
Shashank Govinderaj, Jeremi Gancet, Mark Post, Raúl Domínguez, Fabrice Souvannavong, Simon Lacroix, Michal Smisek, Javier Hidalgo-Carrio, Bilal Wehbe, Alexander Fabisch, Andrea De Maio, Nassir Oumer, Vincent Bissonnette, Zoltan-Csaba Marton, Sandeep Kottath, Christian Nissler, Xiu Yan, Rudolph Triebel, Francesco Nuzzolo
In Proceedings of ASTRA 2017, ESA-ESTEC, (ASTRA-2017), 20.6.-22.6.2017, Leiden, ., 2017.


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zuletzt geändert am 12.01.2024