Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 71 bis 80 von 596
  1. Ruth Stock-Homburg; Jan Peters; Katharina Schneider; Vignesh Prasad; Lejla Nukovic

    Evaluation of the Handshake Turing Test for anthropomorphic Robots

    In: Tony Belpaeme; James E. Young; Hatice Gunes; Laurel D. Riek (Hrsg.). Companion of the 2020 ACM/IEEE International Conference on Human-Robot …

  2. Kai Ploeger; Michael Lutter; Jan Peters

    High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards

    In: Jens Kober; Fabio Ramos; Claire J. Tomlin (Hrsg.). 4th Conference on Robot Learning, CoRL 2020, 16-18 November 2020, Virtual Event / Cambridge, …

  3. Samuele Tosatto; Jo~ao Carvalho; Hany Abdulsamad; Jan Peters

    A Nonparametric Off-Policy Policy Gradient

    In: Silvia Chiappa; Roberto Calandra (Hrsg.). The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August …

  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.