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Publications

Displaying results 281 to 290 of 682.

  1. Carlo D'Eramo; Davide Tateo; Andrea Bonarini; Marcello Restelli; Jan Peters

    Sharing Knowledge in Multi-Task Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2401.09561, Pages 1-18, arXiv, 2024.

  2. Guillaume Duret; Mohamed Mahmoud Sayed Shelkamy Ali; Nicolas Cazin; Danylo Mazurak; Anna Samsonenko; Alexandre Chapin; Florence Zara; Emmanuel Dellandréa; Liming Chen; Jan Peters

    FruitBin: A Tunable Large-Scale Dataset for Advancing 6D Pose Estimation in Fruit Bin-Picking Automation

    In: Alessio Del Bue; Cristian Canton; Jordi Pont-Tuset; Tatiana Tommasi (Hrsg.). Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part I. Computer Vision Systems (CVS), Pages 73-90, Lecture Notes in Computer Science, Vol. 15623, Springer, 2024.

  3. Julen Urain; Ajay Mandlekar; Yilun Du; Mahi Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters

    Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.04380, Pages 1-20, arXiv, 2024.

  4. Luca Lach; Robert Haschke; Davide Tateo; Jan Peters; Helge J. Ritter; Júlia Borràs Sol; Carme Torras

    Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pages 725-732, IEEE, 2024.

  5. Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters

    Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks

    In: IEEE Transactions on Robotics (T-RO), Vol. 40, Pages 277-297, IEEE, 2024.

  6. Daniel Palenicek; Florian Vogt; Joe Watson; Ingmar Posner; Jan Peters

    XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.25174, Pages 1-24, arXiv, 2025.

  7. Sara Farmahini Farahani

    Towards Personalized Cancer Immunotherapy: A Deep Learning Approach for Tumor-Specific T Cell Receptor Discovery

    Mastersthesis, University of Saarland, 2/2026.

  8. Falco Lentzsch; Frédéric Li; Friederike Pagel; Margot Lau; Andrea Kock; Hanna Marie Röhling; Benedikt-Johannes Rothstein; Maciej Baranowski; Marco Maass; Hannes Hölzl; Sebastian Glande; Sebastian Mansow-Model; Ute Thyen; Marcin Grzegorzek

    A machine learning study highlighting the challenges of fidgety movement recognition using vision and inertial sensors

    In: Scientific Reports (Sci Rep), Vol. Scientific Reports volume 16, Article number: 459, Pages 1-16, Nature Publishing Group UK London, 2026.

  9. Tanya Amit Tyagi

    Critical Evaluation of Biologically Informed Neural Networks: Validating Biological Pathway Representation

    Mastersthesis, University of Saarland, 2026.

  10. Hans-Georg Fill; Jennifer Horkoff; Peter Fettke; Julius Köppke

    Generative AI and Conceptual Modeling

    In: Oliver Hinz (Hrsg.). Business & Information Systems Engineering (BISE), Vol. 68, Pages 1-5, Springer Nature LINK, Wiesbaden, 2/2026.

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