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Publications

Displaying results 281 to 290 of 14376.

  1. Christoph Manss; Viktor Martel; Roman Weisgerber

    Assessment of Ground Conditions in Grassland on a Mower with Artificial Intelligence

    In: Informatik in der Land-, Forst- und Ernährungswirtschaft. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2024), Fokus: Biodiversität fördern durch digitale Landwirtschaft, February 27-28, Stuttgart, Germany, Pages 1-6, GI Edition Lecture Notes in Informatics, Vol. 344, ISBN ISBN 978-3-88579-738-8, Lehmans Media, Köln, 2/2024.

  2. Lena Herrmann; Jan Christoph Krause

    Agrar-Robotik meets MLOps

    In: Informatik Aktuell, Alkmene Verlag GmbH, 3/2024.

  3. Sergiy Melnyk; Shreya Tayade; Mervat Zarour; Hans Dieter Schotten

    Wireless Industrial Communication and Control System: AI Assisted Blind Spot Detection-and-Avoidance for AGVs

    In: 3rd International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL 2022). International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL-2022), October 24-26, Valletta, Malta, ISBN 978-989-758-612-5; ISSN: 2184-9285, SCITEPRESS–Science and Technology Publications, 2022.

  4. Sebastián Gómez-González; Gerhard Neumann; Bernhard Schölkopf; Jan Peters

    Adaptation and Robust Learning of Probabilistic Movement Primitives

    In: IEEE Transactions on Robotics (T-RO), Vol. 36, No. 2, Pages 366-379, IEEE, 2020.

  5. Simon Manschitz; Michael Gienger; Jens Kober; Jan Peters

    Learning Sequential Force Interaction Skills

    In: Robotics, Vol. 9, No. 2, Pages 0-10, MDPI, 2020.

  6. Joni Pajarinen; Oleg Arenz; Jan Peters; Gerhard Neumann

    Probabilistic Approach to Physical Object Disentangling

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 4, Pages 5510-5517, IEEE, 2020.

  7. Mikko Lauri; Joni Pajarinen; Jan Peters; Simone Frintrop

    Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 4, Pages 5323-5330, IEEE, 2020.

  8. Kurena Motokura; Masaki Takahashi; Marco Ewerton; Jan Peters

    Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 3275-3282, IEEE, 2020.

  9. Stefan Löckel; Jan Peters; Peter van Vliet

    A Probabilistic Framework for Imitating Human Race Driver Behavior

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 2086-2093, IEEE, 2020.

  10. Sebastián Gómez-González; Sergey Prokudin; Bernhard Schölkopf; Jan Peters

    Real Time Trajectory Prediction Using Deep Conditional Generative Models

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 5, No. 2, Pages 970-976, IEEE, 2020.

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