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Journal Articles
- 2024
[j2]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. IEEE Trans. Robotics 40: 277-297 (2024)- 2023
- [j1]Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters:
Composable energy policies for reactive motion generation and reinforcement learning. Int. J. Robotics Res. 42(10): 827-858 (2023)
Conference and Workshop Papers
- 2023
- [c6]Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki:
Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction. ICRA 2023: 9449-9456 - 2022
- [c5]Marius Memmel, Puze Liu, Davide Tateo, Jan Peters:
Dimensionality Reduction and Prioritized Exploration for Policy Search. AISTATS 2022: 2134-2157 - [c4]Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters, Georgia Chalvatzaki:
Regularized Deep Signed Distance Fields for Reactive Motion Generation. IROS 2022: 6673-6680 - 2021
- [c3]Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters:
Robot Reinforcement Learning on the Constraint Manifold. CoRL 2021: 1357-1366 - [c2]Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters:
Efficient and Reactive Planning for High Speed Robot Air Hockey. IROS 2021: 586-593 - [c1]Julen Urain, Puze Liu, Anqi Li, Carlo D'Eramo, Jan Peters:
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. Robotics: Science and Systems 2021
Informal and Other Publications
- 2024
- [i12]Puze Liu, Haitham Bou-Ammar, Jan Peters, Davide Tateo:
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications. CoRR abs/2404.09080 (2024) - [i11]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. CoRR abs/2406.19741 (2024) - [i10]Julius Jankowski, Ante Maric, Puze Liu, Davide Tateo, Jan Peters, Sylvain Calinon:
Energy-based Contact Planning under Uncertainty for Robot Air Hockey. CoRR abs/2407.03705 (2024) - [i9]Piotr Kicki, Davide Tateo, Puze Liu, Jonas Guenster, Jan Peters, Krzysztof Walas:
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. CoRR abs/2408.14063 (2024) - [i8]Junning Huang, Davide Tateo, Puze Liu, Jan Peters:
Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators. CoRR abs/2409.05054 (2024) - [i7]Jonas Guenster, Puze Liu, Jan Peters, Davide Tateo:
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. CoRR abs/2409.12045 (2024) - 2023
- [i6]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. CoRR abs/2301.04330 (2023) - 2022
- [i5]Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters, Georgia Chalvatzaki:
Regularized Deep Signed Distance Fields for Reactive Motion Generation. CoRR abs/2203.04739 (2022) - [i4]Marius Memmel, Puze Liu, Davide Tateo, Jan Peters:
Dimensionality Reduction and Prioritized Exploration for Policy Search. CoRR abs/2203.04791 (2022) - [i3]Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki:
Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction. CoRR abs/2209.13308 (2022) - 2021
- [i2]Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters:
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. CoRR abs/2105.04962 (2021) - [i1]Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters:
Efficient and Reactive Planning for High Speed Robot Air Hockey. CoRR abs/2107.06140 (2021)
Coauthor Index
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