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Publikationen

Zeige Ergebnisse 1371 bis 1380 von 14393.

  1. Manuel Reif; Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski; Alexander David

    Shared Digital Product Passport for holistic lifecycle assessment

    In: atp - Automatisierungstechnische Praxis, Vol. 66, No. 4, Pages 58-65, Vulkan-Verlag, 4/2024.

  2. Christopher E. Mower; Yuhui Wan; Hongzhan Yu; Antoine Grosnit; Jonas Gonzalez-Billandon; Matthieu Zimmer; Jinlong Wang; Xinyu Zhang; Yao Zhao; Anbang Zhai; Puze Liu; Davide Tateo; Cesar Cadena; Marco Hutter; Jan Peters; Guangjian Tian; Yuzheng Zhuang; Kun Shao; Xingyue Quan; Jianye Hao; Jun Wang; Haitham Bou-Ammar

    ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.19741, Pages 1-26, 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. Duy Minh Ho Nguyen; An Thai Le; Trung Nguyen; Nghiem Tuong Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

    Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

    In: Vu Nguyen; Hsuan-Tien Lin (Hrsg.). Asian Conference on Machine Learning, 5-8 December 2024, Hanoi, Vietnam. Asian Conference on Machine Learning (ACML), Pages 687-702, Proceedings of Machine Learning Research, Vol. 260, PMLR, 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. Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    On the Benefit of Optimal Transport for Curriculum Reinforcement Learning

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 46, No. 11, Pages 7191-7204, IEEE Computer Society, 2024.

  7. Yang Weng; Sehwa Chun; Masaki Ohashi; Takumi Matsuda; Yuki Sekimori; Joni Pajarinen; Jan Peters; Toshihiro Maki

    Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning

    In: Journal of Field Robotics (JFR), Vol. 41, No. 6, Pages 1724-1743, Wiley Online Library, 2024.

  8. Mark Niemeyer; Marian Renz; Maren Pukrop; David Hagemann; Tim Zurheide; Daniel Di Marco; Markus Höferlin; Philipp Stark; Florian Rahe; Matthias Igelbrink; Mario Jenz; Thomas Jarmer; Dieter Trautz; Stefan Stiene; Joachim Hertzberg

    Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 37, Pages 175-181, Springer, 1/2024.

  9. Malte Luttermann; Mattis Hartwig; Tanya Braun; Ralf Möller; Marcel Gehrke

    Lifted Causal Inference in Relational Domains

    In: Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR-24). Conference on Causal Learning and Reasoning (CLeaR-2024), April 1-3, Los Angeles, CA, USA, Pages 827-842, Vol. 236, PMLR, 5/2024.

  10. Sogo Pierre Sanon; Rekha Reddy; Christoph Lipps (Hrsg.)

    DDoS Attacks in Communication: Analysis and Mitigation of Unreliable Clients in Federated Learning

    IEEE Consumer Communications and Networking Conference (CCNC-2024), January 6-9, NV, USA, IEEE, 2/2024.

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