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Publikationen

Zeige Ergebnisse 1211 bis 1220 von 14529.

  1. 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.

  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. Felix Helfenstein; Jannis Blüml; Johannes Czech; Kristian Kersting

    Checkmating One, by Using Many: Combining Mixture of Experts with MCTS to Improve in Chess

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2401.16852, Pages 1-31, arXiv, 2024.

  9. Felix Friedrich; Katharina Hämmerl; Patrick Schramowski; Jindrich Libovický; Kristian Kersting; Alexander Fraser

    Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2401.16092, Pages 1-24, arXiv, 2024.

  10. Antonia Wüst; Wolfgang Stammer; Quentin Delfosse; Devendra Singh Dhami; Kristian Kersting

    Pix2Code: Learning to Compose Neural Visual Concepts as Programs

    In: Negar Kiyavash; Joris M. Mooij (Hrsg.). Uncertainty in Artificial Intelligence, 15-19 July 2024, Universitat Pompeu Fabra, Barcelona, Spain. Conference in Uncertainty in Artificial Intelligence (UAI), Pages 3829-3852, Proceedings of Machine Learning Research, Vol. 244, PMLR, 2024.

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