Puze Liu

According to our database, Puze Liu authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 2024

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

Jonas Guenster, Puze Liu, Jan Peters, Davide Tateo

CoRR, 2024

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

Junning Huang, Davide Tateo, Puze Liu, Jan Peters

CoRR, 2024

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

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

CoRR, 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

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

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

CoRR, 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