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Jahr: 2017
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  1. 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.

  2. 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.

  3. 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.

  4. Tilman Becker; Anselm Blocher; Isabel Bücker; Marvin Drewel; Andreas Faath; Tobias Harland; Mario Hermann; Gerd Herzog; Christian Hocken; Philipp Jussen; Ulrike Krebs; Maximilian Lukas; Benedikt Moser; Katrin Pitz; Daniel Porta; Jan Reschke; Sebastian Schmitz; Moritz Schröter; Moritz Weber; Lucas Wenger; Alexander Werbig; Johannes Winter; Violett Zeller; Günther Schuh; Reiner Anderl; Jürgen Gausemeier; Michael ten Hompel; Wolfgang Wahlster

    Industrie 4.0 Maturity Index [eng.]

    Managing the Digital Transformation of Companies, ISBN 978-3-8316-7314-8, Herbert Utz Verlag, München, 6/2017.

  5. Tilman Becker; Anselm Blocher; Isabel Bücker; Marvin Drewel; Andreas Faath; Tobias Harland; Mario Hermann; Gerd Herzog; Christian Hocken; Philipp Jussen; Ulrike Krebs; Maximilian Lukas; Benedikt Moser; Katrin Pitz; Daniel Porta; Jan Reschke; Sebastian Schmitz; Moritz Schröter; Moritz Weber; Lucas Wenger; Alexander Werbig; Johannes Winter; Violett Zeller; Günther Schuh; Reiner Anderl; Jürgen Gausemeier; Michael ten Hompel; Wolfgang Wahlster

    Industrie 4.0 Maturity Index [dt.]

    Die digitale Transformation von Unternehmen gestalten, ISBN 978-3-8316-4611-1, Herbert Utz Verlag, 2017.

  6. Olga Zlatkin-Troitschanskaia; Gabriel Wittum; Andreas Dengel (Hrsg.)

    Positive Learning in the Age of Information (PLATO) - A blessing or a curse?

    ISBN 978-3-658-19566-3, Springer VS, Wiesbaden, 12/2017.

  7. Tandra Ghose; Yannik T. H. Schelske; Takeshi Suzuki; Andreas Dengel

    Low-level Pixelated Representations suffice for Aesthetically Pleasing Contrast Adjustment in Photographs

    In: Psihologija, Vol. 50, No. 3, Pages 239-270, Serbian Psychological Society, 2017.

  8. Peter Fettke; Robert Risse; Fritz Esterer

    Anwendungspotentiale von Deep Learning im Process Mining in der Steuerabteilung am Beispiel von Henkel

    In: IM+io, Vol. 4, Pages 84-89, AWSI Publishing, 12/2017.

  9. Daniel Porta

    KomBInoS - Modellgetriebene Entwicklung von multimodalen Dialogschnittstellen für Smart Services

    PhD-Thesis, Universität des Saarlandes, 2017.

  10. Christoph Zetzsche; Ruth Rosenholtz; Noshaba Cheema; Konrad Gadzicki; Lex Fridman; Kerstin Schill

    Neural Computation of Statistical Image Properties in Peripheral Vision

    In: Vision Science Society (Hrsg.). MODVIS. Computational and Mathematical Models in Vision (MODVIS-2017), located at Vision Sciences Society Annual Meeting, May 17-19, St. Pete Beach, FL, USA, Purdue University, 5/2017.

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