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Publikationen

Zeige Ergebnisse 21 bis 30 von 805.
  1. Joe Watson; Jan Peters

    Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes

    In: Karen Liu; Dana Kulic; Jeffrey Ichnowski (Hrsg.). Conference on Robot Learning, CoRL 2022. Conference on Robot Learning (CoRL-2022), December 14-18, Auckland, New Zealand, Pages 67-79, Proceedings of Machine Learning Research, Vol. 205, PMLR, 2022.

  2. Boris Belousov; Bastian Wibranek; Jan Schneider; Tim Schneider; Georgia Chalvatzaki; Jan Peters; Oliver Tessmann

    Robotic architectural assembly with tactile skills: Simulation and optimization

    In: Automation in Construction, Vol. 133, Pages 1-10, Elsevier, 1/2022.

  3. On Optimal Behavior Under Uncertainty in Humans and Robots

    PhD-Thesis, Technische Universität Darmstadt, 2022.

  4. Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters

    Neural posterior domain randomization

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1532-1542, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  5. Niklas Funk; Georgia Chalvatzaki; Boris Belousov; Jan Peters

    Learn2assemble with structured representations and search for robotic architectural construction

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1401-1411, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  6. Silvan Mertes; Alexander Heimerl; Tanja Schneeberger; Tobias Baur; Ailin Liu; Linda Becker; Nicolas Rohleder; Patrick Gebhard; Elisabeth André

    Generating personalized behavioral feedback for a virtual job interview training system through adversarial learning

    In: Proceedings of the 23rd International Conference on Artificial Intelligence in Education. International Conference on Artificial Intelligence in Education (AIED-2022), Pages 679-684, ACM, 2022.

  7. Marius Memmel; Puze Liu; Davide Tateo; Jan Peters

    Dimensionality Reduction and Prioritized Exploration for Policy Search

    In: Gustau Camps-Valls; Francisco J. R. Ruiz; Isabel Valera (Hrsg.). International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2022), March 28-30, Pages 2134-2157, Proceedings of Machine Learning Research, Vol. 151, PMLR, 2022.

  8. Dieter Büchler; Simon Guist; Roberto Calandra; Vincent Berenz; Bernhard Schölkopf; Jan Peters

    Learning to Play Table Tennis From Scratch Using Muscular Robots

    In: IEEE Transactions on Robotics (T-RO), Vol. 38, No. 6, Pages 3850-3860, IEEE, 2022.

  9. Yi Zheng; Filipe Veiga; Jan Peters; Veronica J. Santos

    Autonomous Learning of Page Flipping Movements via Tactile Feedback

    In: IEEE Transactions on Robotics (T-RO), Vol. 38, No. 5, Pages 2734-2749, IEEE, 2022.

  10. Julen Urain; Davide Tateo; Jan Peters

    Learning Stable Vector Fields on Lie Groups

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 7, No. 4, Pages 12569-12576, IEEE, 2022.