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Publikationen

Zeige Ergebnisse 1421 bis 1430 von 14737.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Tobias Stollenwerk; Somtapa Bhattacharya; Michele Cattelan; Alessandro Ciani; Gabriele Compostella; David Headley; Johannes Klepsch; Matthias Klusch; Markus Leder; Antonio Macaluso; Kristel Michielsen; Dmytro Nabok; Anestis Papanikolaou; Alexander Rausch; Marco Schumann; Andrea Skolik; Sheir Yarkoni; Frank K. Wilhelm

    Q(AI)2: Quantum Artificial Intelligence for the Automotive Industry

    In: Matthias Klusch; Jörg Lässig; Frank Wilhelm (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 4/24, Pages 1-9, Springer, 2024.

  10. Philippe Weier; Alexander Rath; Élie Michel; Iliyan Georgiev; Philipp Slusallek; Tamy Boubekeur

    N-BVH: Neural ray queries with bounding volume hierarchies

    In: Andres Burbano; Denis Zorin; Wojciech Jarosz (Hrsg.). Proceedings - SIGGRAPH 2024 Conference Papers. ACM Siggraph (Siggraph-24), July 27 - August 1, Denver, CO, USA, Pages 1-11, Vol. 25, ISBN 979-8-4007-0525-0, Association for Computing Machinery, New York, NY, USA, 7/2024.

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