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Dr. Leif Christensen

Organizational unit Robotics Innovation Center
Contact +49 421 17845 4149 (Bremen)

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

Publications

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.

To the publication

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.

To the publication

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.

To the publication

Profile

  • 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…

    CIAM
  • 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…

    REMARO
  • 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…

    TRIPLE-MoDo
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