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Publikationen

Zeige Ergebnisse 421 bis 430 von 14807.

  1. Brian Moser; Arundhati Shanbhag; Stanislav Frolov; Federico Raue; Joachim Folz; Andreas Dengel

    A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances

    In: ArXiv e-prints (arxiv), Vol. arxiv, Pages 0-0, arxiv, 2025.

  2. 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.

  3. 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.

  4. Niklas Funk; Changqi Chen; Tim Schneider; Georgia Chalvatzaki; Roberto Calandra; Jan Peters

    On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.13618, Pages 1-9, arXiv, 2025.

  5. Jiayun Li; Kay Pompetzki; An T. Le; Haolei Tong; Jan Peters; Georgia Chalvatzaki

    Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2504.04936, Pages 1-14, arXiv, 2025.

  6. Leonhard Keller; Daniel Tanneberg; Jan Peters

    Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.21406, Pages 1-8, arXiv, 2025.

  7. Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Jean Seong Bjorn Choe; BumKyu Choi; Tim Lukas Faust; Habib Maraqten; Erfan Aghadavoodi; Marco Calì; Alberto Sinigaglia; Giulio Giacomuzzo; Diego Romeres; Jong-Kook Kim; Gian Antonio Susto; Shubham Vyas; Dennis Mronga; Boris Belousov; Jan Peters; Frank Kirchner; Shivesh Kumar

    Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.15290, Pages 1-8, arXiv, 2025.

  8. Nico Bohlinger; Jonathan Kinzel; Daniel Palenicek; Lukasz Antczak; Jan Peters

    Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.08375, Pages 1-8, arXiv, 2025.

  9. 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.

  10. 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.

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