Puze Liu

According to our database, Puze Liu authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Maximum Total Correlation Reinforcement Learning.

Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz

CoRR, May, 2025

Towards Safe Robot Foundation Models Using Inductive Biases.

Maximilian Tölle, Theo Gruner, Daniel Palenicek, Tim Schneider, Jonas Günster, Joe Watson, Davide Tateo, Puze Liu, Jan Peters

CoRR, May, 2025

Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation.

Zechu Li, Yufeng Jin, Daniel Felipe Ordoñez Apraez, Claudio Semini, Puze Liu, Georgia Chalvatzaki

CoRR, May, 2025

Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators.

Junning Huang, Davide Tateo, Puze Liu, Jan Peters

IEEE Robotics Autom. Lett., March, 2025

Towards Safe Robot Foundation Models.

Maximilian Tölle, Theo Gruner, Daniel Palenicek, Jonas Günster, Puze Liu, Joe Watson, Davide Tateo, Jan Peters

CoRR, March, 2025

Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications.

Puze Liu, Haitham Bou-Ammar, Jan Peters, Davide Tateo

IEEE Trans. Robotics, 2025

ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds.

Shangding Gu, Puze Liu, Alap Kshirsagar, Guang Chen, Jan Peters, Alois Knoll

IEEE Trans Autom. Sci. Eng., 2025

2024

Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks.

Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou-Ammar, Krzysztof Walas, Piotr Skrzypczynski, Jan Peters

IEEE Trans. Robotics, 2024

Energy-based Contact Planning under Uncertainty for Robot Air Hockey.

Julius Jankowski, Ante Maric, Puze Liu, Davide Tateo, Jan Peters, Sylvain Calinon

CoRR, 2024

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning.

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

CoRR, 2024

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning.

Piotr Kicki, Davide Tateo, Puze Liu, Jonas Günster, Jan Peters, Krzysztof Walas

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning.

Jonas Günster, Puze Liu, Jan Peters, Davide Tateo

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Composable energy policies for reactive motion generation and reinforcement learning.

Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters

Int. J. Robotics Res., September, 2023

Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction.

Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Regularized Deep Signed Distance Fields for Reactive Motion Generation.

Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters, Georgia Chalvatzaki

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Dimensionality Reduction and Prioritized Exploration for Policy Search.

Marius Memmel, Puze Liu, Davide Tateo, Jan Peters

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Efficient and Reactive Planning for High Speed Robot Air Hockey.

Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Robot Reinforcement Learning on the Constraint Manifold.

Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021