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Publications

 

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

Displaying results 21 to 30 of 507.
  1. Herke van Hoof; Gerhard Neumann; Jan Peters

    Non-parametric Policy Search with Limited Information Loss

    In: Journal of Machine Learning Research, Vol. 18, Pages 73:1-73:46, JMLR, 2017.

  2. Serena Ivaldi; Sébastien Lefort; Jan Peters; Mohamed Chetouani; Joelle Provasi; Elisabetta Zibetti

    Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human-Robot Assembly Task - Experiments with the iCub humanoid

    In: International Journal of Social Robotics, Vol. 9, No. 1, Pages 63-86, Springer, 2017.

  3. Guilherme Maeda; Marco Ewerton; Gerhard Neumann; Rudolf Lioutikov; Jan Peters

    Phase estimation for fast action recognition and trajectory generation in human-robot collaboration

    In: International Journal of Robotics Research (IJRR), Vol. 36, No. 13-14, Pages 1579-1594, Sage Publications, 2017.

  4. Rudolf Lioutikov; Gerhard Neumann; Guilherme Maeda; Jan Peters

    Learning movement primitive libraries through probabilistic segmentation

    In: International Journal of Robotics Research (IJRR), Vol. 36, No. 8, Pages 879-894, Sage Publications, 2017.

  5. Oriane Dermy; Alexandros Paraschos; Marco Ewerton; Jan Peters; François Charpillet; Serena Ivaldi

    Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives

    In: Frontiers in Robotics and AI, Vol. 4, Pages 0-10, Frontiers, 2017.

  6. Guilherme Maeda; Gerhard Neumann; Marco Ewerton; Rudolf Lioutikov; Oliver Kroemer; Jan Peters

    Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks

    In: Autonomous Robots, Vol. 41, No. 3, Pages 593-612, Springer, 2017.

  7. Jan Peters; Russ Tedrake; Nick Roy; Jun Morimoto

    Robot Learning

    In: Claude Sammut; Geoffrey I. Webb (Hrsg.). Encyclopedia of Machine Learning and Data Mining. Pages 1106-1109, Springer, 2017.

  8. Jan Peters; J. Andrew Bagnell

    Policy Gradient Methods

    In: Claude Sammut; Geoffrey I. Webb (Hrsg.). Encyclopedia of Machine Learning and Data Mining. Pages 982-985, Springer, 2017.

  9. Karl-Heinz Fiebig; Vinay Jayaram; Thomas Hesse; Alexander Blank; Jan Peters; Moritz Grosse-Wentrup

    Bayesian Regression for Artifact correction in Electroencephalography

    In: Gernot R. Müller-Putz; David Steyrl; Selina C. Wriessnegger; Reinhold Scherer (Hrsg.). From Vision to Reality - Proceedings of the 7th Graz …

  10. Vincent Padois; Serena Ivaldi; Jan Babic; Michael N. Mistry; Jan Peters; Francesco Nori

    Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project

    In: Robotics and Autonomous Systems (RAS), Vol. 90, Pages 97-117, Elsevier, 2017.