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Publications

Displaying results 911 to 920 of 14734.
  1. M. Drolet; S. Stepputtis; S. Kailas; A. Jain; S. Schaal; Jan Peters; H. Ben Amor

    A Comparison of Imitation Learning Algorithms for Bimanual Manipulation

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, Pages 8579-8586, IEEE, 2024.

  2. N. Bohlinger; G. Czechmanowski; M. Krupka; P. Kicki; K. Walas; Jan Peters; D. Tateo

    One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion

    In: Proceedings of The 8th Conference on Robot Learning. Conference on Robot Learning (CoRL-2024), PMLR, 2024.

  3. F. Herrmann; S.B. Zach; J. Banfi; Jan Peters; G. Chalvatzaki; D. Tateo

    Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, Pages 9327-9334, IEEE, 2024.

  4. S. Gu; Puze Liu; A. Kshirsagar; G. Chen; Jan Peters; A. Knoll

    ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds

    In: IEEE Transactions on Automation Science and Engineering, Vol. /, Pages 1-11, IEEE, 2024.

  5. L. Lin; A. Boehm; B. Belousov; A. Kshirsagar; T. Schneider; Jan Peters; K. Doerschner; K. Drewing

    Task-Adapted Single-Finger Explorations of Complex Objects

    In: 14th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2024, Proceedings, Part I. International Conference on Human Haptic Sensing and Touch Enabled Computer Applications (EuroHaptics-2024), June 30 - July 3, Lille, France, Pages 133-146, Lecture Notes in Computer Science (LNCS), Vol. 14768, Springer, Cham, 2024.

  6. Lars-Peter Meyer; Johannes Frey; Desiree Heim; Felix Brei; Claus Stadler; Kurt Junghanns; Michael Martin

    LLM-KG-Bench 3.0: A Compass for Semantic Technology Capabilities in the Ocean of LLMs

    In: The Semantic Web. Extended Semantic Web Conference (ESWC-2025), June 1-5, Portoroz, Slovenia, Pages 280-296, Vol. 15719, ISBN 978-3-031-94578-6, Springer Nature Switzerland, Cham, 5/2025.

  7. David Antony Selby; Maximilian Sprang; Jan Ewald; Sebastian Vollmer

    Beyond the black box with biologically informed neural networks

    In: Linda Koch (Hrsg.). Nature Reviews Genetics (Nat Rev Genet), Vol. NA, Pages NA-NA, Springer Nature, 3/2025.

  8. On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?

    In: IEEE International Geoscience and Remote Sensing Symposium 2025. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2025), August 3-8, Brisbane, Australia, IEEE, 2025.

  9. Francisco Mena; Diego Arenas; Andreas Dengel

    Missing data as augmentation in the Earth Observation domain: A multi-view learning approach

    In: Neurocomputing, Vol. 638, Pages 0-16, Elsevier, 7/2025.