Puze Liu - RankMe

34 papers A* 3A 3Misc 3Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CompliantVLA-adaptor: VLM-Guided Variable Impedance Action for Safe Contact-Rich Manipulation. CoRR Heng Zhang, Wei-Hsing Huang, Qiyi Tong, Gökhan Solak, Puze Liu, Sheng Liu, Jan Peters, Arash Ajoudani
2025	J	`jnl`	Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators. IEEE Robotics Autom. Lett. Junning Huang, Davide Tateo, Puze Liu, Jan Peters
2025	A*	`conf`	Maximum Total Correlation Reinforcement Learning. ICML Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz
2025	J	`jnl`	Maximum Total Correlation Reinforcement Learning. CoRR Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz
2025	J	`jnl`	Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation. CoRR Zechu Li, Yufeng Jin, Daniel Felipe Ordoñez Apraez, Claudio Semini, Puze Liu, Georgia Chalvatzaki
2025	J	`jnl`	ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds. IEEE Trans Autom. Sci. Eng. Shangding Gu, Puze Liu, Alap Kshirsagar, Guang Chen, Jan Peters, Alois Knoll
2025	—	`—`	Safe Reinforcement Learning for Robotics: From Exploration to Policy Learning. Puze Liu
2025	J	`jnl`	Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications. IEEE Trans. Robotics Puze Liu, Haitham Bou-Ammar, Jan Peters, Davide Tateo
2025	J	`jnl`	Towards Safe Robot Foundation Models Using Inductive Biases. CoRR Maximilian Tölle, Theo Gruner, Daniel Palenicek, Tim Schneider, Jonas Günster, Joe Watson, Davide Tateo, Puze Liu, Jan Peters
2025	J	`jnl`	Towards Safe Robot Foundation Models. CoRR Maximilian Tölle, Theo Gruner, Daniel Palenicek, Jonas Günster, Puze Liu, Joe Watson, Davide Tateo, Jan Peters
2024	A*	`conf`	A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics. NeurIPS Puze Liu, Jonas Günster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou-Ammar, Julius Jankowski, Ante Maric, Sylvain Calinon, Andrej Orsula, Miguel S. Olivares-Méndez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan R. Peters
2024	J	`jnl`	A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics. CoRR Puze Liu, Jonas Guenster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou-Ammar, Julius Jankowski, Ante Maric, Sylvain Calinon, Andrej Orsula, Miguel S. Olivares-Méndez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan Peters
2024	J	`jnl`	Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators. CoRR Junning Huang, Davide Tateo, Puze Liu, Jan Peters
2024	Misc	`conf`	Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. CoRL Piotr Kicki, Davide Tateo, Puze Liu, Jonas Günster, Jan Peters, Krzysztof Walas
2024	J	`jnl`	Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. CoRR Piotr Kicki, Davide Tateo, Puze Liu, Jonas Guenster, Jan Peters, Krzysztof Walas
2024	J	`jnl`	Energy-based Contact Planning under Uncertainty for Robot Air Hockey. CoRR Julius Jankowski, Ante Maric, Puze Liu, Davide Tateo, Jan Peters, Sylvain Calinon
2024	J	`jnl`	Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks. IEEE Trans. Robotics Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou-Ammar, Krzysztof Walas, Piotr Skrzypczynski, Jan Peters
2024	Misc	`conf`	Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. CoRL Jonas Günster, Puze Liu, Jan Peters, Davide Tateo
2024	J	`jnl`	Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. CoRR Jonas Guenster, Puze Liu, Jan Peters, Davide Tateo
2024	J	`jnl`	ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR 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
2024	J	`jnl`	Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications. CoRR Puze Liu, Haitham Bou-Ammar, Jan Peters, Davide Tateo
2023	J	`jnl`	Composable energy policies for reactive motion generation and reinforcement learning. Int. J. Robotics Res. Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters
2023	J	`jnl`	Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks. CoRR Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou-Ammar, Krzysztof Walas, Piotr Skrzypczynski, Jan Peters
2023	A*	`conf`	Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction. ICRA Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
2022	A	`conf`	Dimensionality Reduction and Prioritized Exploration for Policy Search. AISTATS Marius Memmel, Puze Liu, Davide Tateo, Jan Peters
2022	J	`jnl`	Dimensionality Reduction and Prioritized Exploration for Policy Search. CoRR Marius Memmel, Puze Liu, Davide Tateo, Jan Peters
2022	A	`conf`	Regularized Deep Signed Distance Fields for Reactive Motion Generation. IROS Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Regularized Deep Signed Distance Fields for Reactive Motion Generation. CoRR Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction. CoRR Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
2021	—	`conf`	Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. Robotics: Science and Systems Julen Urain, Puze Liu, Anqi Li, Carlo D'Eramo, Jan Peters
2021	J	`jnl`	Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. CoRR Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters
2021	A	`conf`	Efficient and Reactive Planning for High Speed Robot Air Hockey. IROS Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
2021	J	`jnl`	Efficient and Reactive Planning for High Speed Robot Air Hockey. CoRR Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
2021	Misc	`conf`	Robot Reinforcement Learning on the Constraint Manifold. CoRL Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters