Puze Liu

Puze joined Intelligent Autonomous Systems in Aug 2019 as a Ph.D. student. He work with Davide Tateo and Jan Peters within the research group Safe and Reliable Robot Learning. His research interests include robotics, reinforcement learning, controlling, and human-robot collaboration. Puze is looking for new approaches for robots to learn collaborative tasks that enable robots to assist humans in different scenarios.

Before starting his Ph.D., Puze completed his Master's degree in Computational Engineering Science at the Technische Universitaet Berlin. During his study, Puze's previous work focused on robot fundamental algorithms and safety problems during human-robot interaction. His master thesis "Industrial Robot Motion Control depending on the Distance between Human and Robot" was under the supervision of Prof. Dr-Ing. Jörg Krüger and Martin J. Rosenstrauch.

Research Interest

Robotics, Reinforcement Learning, Control and Optimization, Safe Reinforcement Learning.

Key References

1. Liu, P.; Zhang, K.; Tateo, D.; Jauhri, S.; Hu, Z.; Peters, J. Chalvatzaki, G. (2023). Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction, 2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE.   Download Article [PDF]   BibTeX Reference [BibTex]
2. Liu, P.; Zhang, K.;Tateo D.; Jauhri S.; Peters J.; Chalvatzaki G.; (2022). Regularized Deep Signed Distance Fields for Reactive Motion Generation, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   Download Article [PDF]   BibTeX Reference [BibTex]
3. Liu, P.; Tateo D.; Bou-Ammar, H.; Peters, J. (2021). Robot Reinforcement Learning on the Constraint Manifold, Proceedings of the Conference on Robot Learning (CoRL).   Download Article [PDF]   BibTeX Reference [BibTex] --- Best Paper Award Finalist ---
4. Liu, P.; Tateo D.; Bou-Ammar, H.; Peters, J. (2021). Efficient and Reactive Planning for High Speed Robot Air Hockey, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   Download Article [PDF]   BibTeX Reference [BibTex] Webpage --- Best Entertainment and Amusement Paper Award Finalist ---
5. Memmel, M.; Liu, P.; Tateo, D.; Peters, J. (2022). Dimensionality Reduction and Prioritized Exploration for Policy Search, 25th International Conference on Artificial Intelligence and Statistics (AISTATS).   Download Article [PDF]   BibTeX Reference [BibTex]
6. Urain, J.; Li, A.; Liu, P.; D'Eramo, C.; Peters, J. (in press). Composable energy policies for reactive motion generation and reinforcement learning, International Journal of Robotics Research (IJRR).   BibTeX Reference [BibTex]
   
   Urain, J.; Li, A.; Liu, P.; D'Eramo, C.; Peters, J. (2021). Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning, Robotics: Science and Systems (RSS).   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Theses and Projects