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Publications

Displaying results 1601 to 1610 of 5313.

  1. 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.

  2. 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.

  3. 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.

  4. Julia Vinogradska; Bastian Bischoff; Jan Achterhold; Torsten Koller; Jan Peters

    Numerical Quadrature for Probabilistic Policy Search

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 42, No. 1, Pages 164-175, IEEE, 2020.

  5. Rudolf Lioutikov; Guilherme Maeda; Filipe Veiga; Kristian Kersting; Jan Peters

    Learning attribute grammars for movement primitive sequencing

    In: International Journal of Robotics Research (IJRR), Vol. 39, No. 1, Pages 0-10, Sage Publications, 2020.

  6. Dorothea Koert; Susanne Trick; Marco Ewerton; Michael Lutter; Jan Peters

    Incremental Learning of an Open-Ended Collaborative Skill Library

    In: International Journal of Humanoid Robotics (IJHR), Vol. 17, No. 1, Pages 2050001:1-2050001:23, World Scientific Publishing Co. 2020.

  7. Filipe Veiga; Riad Akrour; Jan Peters

    Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks

    In: Frontiers in Robotics and AI, Vol. 7, Pages 0-10, Frontiers, 2020.

  8. Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Self-Paced Deep Reinforcement Learning

    In: Hugo Larochelle; Marc'Aurelio Ranzato; Raia Hadsell; Maria-Florina Balcan; Hsuan-Tien Lin (Hrsg.). Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020. Neural Information Processing Systems (NeurIPS-2020), December 6-12, Curran Associates, Inc. 2020.

  9. Hany Abdulsamad; Jan Peters

    Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation

    In: Alexandre M. Bayen; Ali Jadbabaie; George J. Pappas; Pablo A. Parrilo; Benjamin Recht; Claire J. Tomlin; Melanie N. Zeilinger (Hrsg.). Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control. Learning for Dynamics and Control Conference (L4DC-2020), June 11-12, Berkeley, CA, USA, Pages 904-914, Proceedings of Machine Learning Research, Vol. 120, PMLR, 2020.

  10. Abraham Imohiosen; Joe Watson; Jan Peters

    Active Inference or Control as Inference? A Unifying View

    In: Tim Verbelen; Pablo Lanillos; Christopher L. Buckley; Cedric De Boom (Hrsg.). Active Inference - First International Workshop. International Workshop on Active Inference (IWAI-2020), September 14, Ghent, Belgium, Pages 12-19, Communications in Computer and Information Science, Vol. 1326, Springer, 2020.

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