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Publications

Displaying results 1371 to 1380 of 14533.

  1. Tim Bohne; Anne-Kathrin Patricia Windler; Martin Atzmueller

    A Domain-Agnostic Neuro-Symbolic Architecture for Multimodal Human-in-the-Loop Anomaly Detection and Complex Fault Diagnosis

    In: IEEE Access (IEEE), Vol. 13, Pages 210201-210236, IEEE, 12/2025.

  2. Hacane Hechehouche; André Antakli; Matthias Klusch

    LLM-Assisted Modeling of Semantic Web-Enabled Multi-Agents Systems with AJAN

    In: Proc. 18th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2026), Scitepress, 2026.

  3. Leonard Frank Neis; André Antakli; Matthias Klusch

    CARJAN: Agent-Based Generation and Simulation of Traffic Scenarios with AJAN

    In: Proc. 18th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2026), Scitepress, 2026.

  4. Jonas Günster; Puze Liu; Jan Peters; Davide Tateo

    Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning

    In: Pulkit Agrawal; Oliver Kroemer; Wolfram Burgard (Hrsg.). Conference on Robot Learning, 6-9 November 2024, Munich, Germany. Conference on Robot Learning (CoRL), Pages 4670-4697, Proceedings of Machine Learning Research, Vol. 270, PMLR, 2024.

  5. Adnan Anwer; Jameel Malik; Khawar Khurshid; Ahmed Elhayek; Ramy Battrawy; Didier Stricker; Syed Sarib Naveed; Muhammad Usman Safder

    Scene flow based deep network for hand reconstruction using depth images

    In: Scientific Reports (Sci Rep), Vol. 15(1), No. Article Number: 32726, Pages 1-24, Springer Nature, Nature Publishing Group, 9/2025.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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