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Publications

Displaying results 1421 to 1430 of 14804.

  1. Julen Urain; Niklas Funk; Jan Peters; Georgia Chalvatzaki

    SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

    In: IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023. IEEE International Conference on Robotics and Automation (ICRA), Pages 5923-5930, IEEE, 2023.

  2. Lasse Hohmeyer; Mihaela Popescu; Ivan Bergonzani; Dennis Mronga; Frank Kirchner

    InEKFormer: A Hybrid State Estimator for Humanoid Robots

    In: Proceedings of IEEE International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2025), December 2-5, San Juan, Argentina, Pages 833-840, IEEE, 1/2026.

  3. Jo~ao Carvalho; An T. Le; Piotr Kicki; Dorothea Koert; Jan Peters

    Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models

    In: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 4881-4901, arXiv, 2025.

  4. Vignesh Prasad; Lea Heitlinger; Dorothea Koert; Ruth Stock-Homburg; Jan Peters; Georgia Chalvatzaki

    Learning Multimodal Latent Dynamics for Human-Robot Interaction

    In: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 4418-4438, arXiv, 2025.

  5. Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An Thai Le; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; Tanmay Goyal; Jan Peters; Martin W. Hoffmann

    Machine Learning with Physics Knowledge for Prediction: A Survey

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-61, arXiv, 2025.

  6. Théo Vincent; Daniel Palenicek; Boris Belousov; Jan Peters; Carlo D'Eramo

    Iterated emphQ-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, arXiv, 2025.

  7. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-31, arXiv, 2025.

  8. An Thai Le; Khai Nguyen; Minh Nhat Vu; Joao Carvalho; Jan Peters

    Model Tensor Planning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-24, arXiv, 2025.

  9. Simon Kohaut; Nikolas Hohmann; Sebastian Brulin; Benedict Flade; Julian Eggert; Markus Olhofer; Jürgen Adamy; Devendra Singh Dhami; Kristian Kersting

    Hybrid Many-Objective Optimization in Probabilistic Mission Design for Compliant and Effective UAV Routing

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.18514, Pages 1-24, arXiv, 2024.

  10. Simon Kohaut; Benedict Flade; Julian Eggert; Devendra Singh Dhami; Kristian Kersting

    StaR Maps: Unveiling Uncertainty in Geospatial Relations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.18356, Pages 1-8, arXiv, 2024.

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