Dr. Leif Christensen

Contact +49 421 17845 4149 (Bremen)

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

Publications

Attitude Control of the Hydrobatic Intervention AUV Cuttlefish using Incremental Nonlinear Dynamic Inversion
Tom Vincent Slawik; Shubham Vyas; Leif Christensen; Frank Kirchner
In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2024), October 14-18, Abu Dhabi, United Arab Emirates, IEEE, 10/2024.
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. IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS-2024), September 3-5, Blacksburg, Virginia, USA, n.n. 9/2024.
An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)
Nikolas Dahn; Miguel Bande Firvida; Proneet Kumar Sharma; Leif Christensen; Oliver Geisler; Jochen Mohrmann; Torsten Frey; Prithvi Sanghamreddy; Frank Kirchner
In: OCEANS. OCEANS MTS/IEEE Conference (OCEANS-2024), September 23-26, Halifax, Kanada, Canada, IEEE, 9/2024.

CleanSeas
CleanSeas
New robotic manipulation techniques and AI algorithms for the precise handling of objects in the sea using the example of ammunition dumps / UXO
Approximately 1.6 million tonnes of ammunition, mainly…
CIAM
Cooperative Development of a Comprehensive Integrated Autonomous Underwater Monitoring Solution
In the CIAM project, autonomous underwater vehicles (AUVs) are being developed that are capable of autonomous inspection missions with a travel distance of 500km. This eliminates the need for supply…
REMARO
Reliable AI for Marine Robotics
Marie Skłodowska-Curie Innovative Training Network for Reliable AI for Marine Robotics
Partners
IT University of Copenhagen, Denmark
Aarhus University, Denmark
University of Bremen, Germany
RWTH…
EnvMon-Short
EnvMon-Short
Technical evaluation of a robotic measurement system for the spatial-temporal high-resolution in-situ classification of SONAR data using neural networks
Current lake monitoring is limited to punctual…
TRIPLE-MoDo
Autonomous and reliable docking with soft robotics for extraterrestrial and terrestrial analog missions
The exploration of both Earth's and extraterrestrial oceans require robotic systems capable to operate autonomously and for longer periods of time under water. To this end, the TRIPLE-Modo project…