Skip to main content Skip to main navigation

Publications

Displaying results 221 to 230 of 661.

  1. Timo Markert; Elias Hoerner; Sebastian Matich; Andreas Theissler; Martin Atzmueller

    Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach

    In: 2023 International Conference on Machine Learning and Applications (ICMLA). International Conference on Machine Learning and Applications (ICMLA), Pages 1045-1051, IEEE, 2023.

  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. Aryaman Reddi; Gabriele Tiboni; Jan Peters; Carlo D'Eramo

    emphK-Level Policy Gradients for Multi-Agent Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.12117, Pages 1-22, arXiv, 2025.

  8. Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Yaniv Oren; Jan Peters; Carlo D'Eramo

    Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.04398, Pages 1-22, arXiv, 2025.

  9. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D'Eramo

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    In: International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2025), ICLR, 2025.

  10. Matthias Tschöpe; Stefan Gerd Fritsch; Vitor Fortes Rey; Niranjan Narendra Nandurkar; Sarah Trevenna; Eloise Monger; Paul Lukowicz

    NEEDLE: Nurse Education Enhanced by Vision-based Deep Learning Evaluation

    In: 2025 7th International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC), April 21-25, Abu Dhabi, Abu Dhabi, United Arab Emirates, Pages 1-10, IEEE Xplore, 2025.

Year

More options