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Publications

Displaying results 1781 to 1790 of 15056.

  1. Pixi Kang; Julian Moosmann; Mengxi Liu; Bo Zhou; Michele Magno; Paul Lukowicz; Sizhen Bian

    Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning

    In: MobileHCI '25: Proceedings of the 27th International Conference on Mobile Human-Computer Interaction. ACM International Conference on Mobile Human-Computer Interaction (MobileHCI-2025), ACM, 9/2025.

  2. Luis Octavio Arriaga Camargo; Rebecca Adam; Melvin Laux; Lisa Gutzeit; Marco Ragni; Jan Peters; Frank Kirchner

    Bayesian Inverse Physics for Neuro-Symbolic Robot Learning

    In: Leilani Gilpin; Eleonora Giunchiglia; Pascal Hitzler; Emile van Krieken (Hrsg.). Neurosymbolic Artificial Intelligence, Pages 1-19, IOS Press, 2025.

  3. Philipp Richard; Alexis T. Bernhard; Andreas Luxenburger; Henning Gösling; Achim Wagner

    Agent-based Initialization of Autonomous Mobile Robots: Leveraging the Asset Administration Shell for automated Commissioning

    In: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2025), September 9-12, Porto, Portugal, IEEE, 2025.

  4. Maximilian Tölle; Theo Gruner; Daniel Palenicek; Jonas Günster; Puze Liu; Joe Watson; Davide Tateo; Jan Peters

    Towards Safe Robot Foundation Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.07404, Pages 1-3, arXiv, 2025.

  5. Mathias Trampler; Marc Tabie; Julia Habenischt; Elsa Andrea Kirchner

    Exoskeleton based microgravity simulation for astronaut training

    In: MDPI Engineering Proceedings (E-ISSN 2673-4591). EASN International Conference on Innovation in Aviation & Space towards Sustainability Today & Tomorrow (EASN-2025), 15th, October 14-17, Madrid, Spain, MDPI, 2026.

  6. Khang Nguyen; An T. Le; Tien Pham; Manfred Huber; Jan Peters; Minh Nhat Vu

    FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.06135, Pages 1-7, arXiv, 2025.

  7. Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

    Eau De emphQ-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.01437, Pages 1-26, arXiv, 2025.

  8. Nico Bohlinger; Jan Peters

    Massively Scaling Explicit Policy-conditioned Value Functions

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.11949, Pages 1-5, arXiv, 2025.

  9. Daniel Palenicek; Florian Vogt; Jan Peters

    Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.07523, Pages 1-23, arXiv, 2025.

  10. Fabian Roth; Dominik K. Klein; Maximilian Kannapinn; Jan Peters; Oliver Weeger

    Stable Port-Hamiltonian Neural Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.02480, Pages 1-15, arXiv, 2025.

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