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Dr.-Ing. Bilal Wehbe

Organisationseinheit Robotics Innovation Center
Kontakt +49 421 17845 4168 (Bremen)

Adresse (Bremen) Robert-Hooke-Straße 1D-28359 Bremen

Publikationen

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. IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS-2024), September 3-5, Blacksburg, Virginia, USA, n.n. 9/2024.

Zur Publikation

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 MTS/IEEE Conference (OCEANS-2024), Halifax, September 23-26, Halifax, Canada, IEEE, 2024.

Zur Publikation

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 MTS/IEEE Conference (OCEANS-2023), June 5-8, Limerick, Ireland, IEEE, 2023.

Zur Publikation
Alle Publikationen

Profil

  • DeeperSense

    Deep-Learning for Multimodal Sensor Fusion

    Das Hauptziel von DeeperSense ist die signifikante Verbesserung der Fähigkeiten zur Umgebungswahrnehmung von Service Robotern, um deren Leistung und Zuverlässigkeit zu erhöhen, neue Funktionen zu…

    DeeperSense

  • REMARO

    Reliable AI for Marine Robotics

    Marie Skłodowska-Curie Innovative Training Network for Reliable AI for Marine Robotics

    Partner

    IT University of Copenhagen, Denmark

    Aarhus University, Denmark

    University of Bremen, Germany

    RWTH Aachen…

    REMARO