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Publications

 

Due to maintenance work, it is currently not possible to search for publications by author.

Displaying results 31 to 40 of 5623.
  1. Towards Energy-Efficient Large-Scale Artificial Intelligence for Sustainable Data Centers

    In: INFORMATIK 2023. Jahrestagung der Gesellschaft für Informatik (INFORMATIK-2023), 11. Workshop Umweltinformatik zwischen Nachhaltigkeit und Wandel, …

  2. Terahertz-Enpowered Communications and Sensing in 6G Systems: Opportunities and Challenges

    In: IEEE ICCC. IEEE International Conference on Computer and Communications (ICCC-2023), December 8-11, Chengdu, China, IEEE, 12/2023.

  3. CoBaIR: A Python Library for Context-Based Intention Recognition in Human-Robot-Interaction

    In: 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE International Conference on Robot and Human …

  4. DALG: The Data Aware Event Log Generator

    In: BPM 2023 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum. BPM Demo Track (BPMTracks-2023), Ceur-WS, 2023.

  5. Okan Koc; Guilherme Maeda; Jan Peters

    Optimizing the Execution of Dynamic Robot Movements With Learning Control

    In: IEEE Transactions on Robotics (T-RO), Vol. 35, No. 4, Pages 909-924, IEEE, 2019.

  6. Sebastián Gómez-González; Yassine Nemmour; Bernhard Schölkopf; Jan Peters

    Reliable Real-Time Ball Tracking for Robot Table Tennis

    In: Robotics, Vol. 8, No. 4, Pages 0-10, MDPI, 2019.

  7. Dorothea Koert; Joni Pajarinen; Albert Schotschneider; Susanne Trick; Constantin A. Rothkopf; Jan Peters

    Learning Intention Aware Online Adaptation of Movement Primitives

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 4, Pages 3719-3726, IEEE, 2019.

  8. Florian Brandherm; Jan Peters; Gerhard Neumann; Riad Akrour

    Learning Replanning Policies With Direct Policy Search

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 2, Pages 2196-2203, IEEE, 2019.

  9. Okan Koc; Jan Peters

    Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 4, No. 2, Pages 1784-1791, IEEE, 2019.

  10. Daniel Tanneberg; Jan Peters; Elmar Rueckert

    Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks

    In: Neural Networks, Vol. 109, Pages 67-80, Elsevier, 2019.