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Publications

Displaying results 141 to 150 of 661.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. Fabian Schmeisser; Maria Caroprese; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    How to Box Your Cells: An Introduction to Box Supervision for 2.5D Cell Instance Segmentation and a Study of Applications

    In: Proceedings of the 17th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2025), February 23-25, Porto, Portugal, Vol. 3, SciTePress, 2025.

  8. T. Vincent; F. Wahren; Jan Peters; B. Belousov; C. D'Eramo

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

    In: ICML Workshop on Automated Reinforcement Learning. International Conference on Machine Learning (ICML-2024), ICML, 2024.

  9. Miro Miranda Lorenz; Francisco Mena; Andreas Dengel

    An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks

    In: IDA 2025. International Symposium on Intelligent Data Analysis (IDA-2025), May 7-9, Konstanz, Germany, Springer, 5/2025.

  10. Qiushi Guo; Shaoxiang Wang; Chun-Peng Chang; Jason Raphael Rambach

    CACP: Context-Aware Copy-Paste to Enrich Image Content for Data Augmentation

    In: Proceedings of the 1st Workshop on Exploring the Next Generation of Data. CVPR Workshop on Exploring the Next Generation of Data (NeXD-25), located at CVPR 2025, June 11, Nashville, TN, USA, IEEE, 2025.

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