Follow
Puze Liu
Puze Liu
Intelligent Autonomous Systems, TU Darmstadt
Verified email at ias.informatik.tu-darmstadt.de - Homepage
Title
Cited by
Cited by
Year
Robot reinforcement learning on the constraint manifold
P Liu, D Tateo, HB Ammar, J Peters
Conference on Robot Learning, 1357-1366, 2022
402022
Regularized deep signed distance fields for reactive motion generation
P Liu, K Zhang, D Tateo, S Jauhri, J Peters, G Chalvatzaki
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
242022
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
J Urain, A Li, P Liu, C D'Eramo, J Peters
Robotics: Science and Systems (RSS), 2021
242021
Efficient and Reactive Planning for High Speed Robot Air Hockey
P Liu, D Tateo, H Bou-Ammar, J Peters
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
112021
Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction
P Liu, K Zhang, D Tateo, S Jauhri, Z Hu, J Peters, G Chalvatzaki
2023 IEEE International Conference on Robotics and Automation (ICRA), 9449-9456, 2023
102023
Fast kinodynamic planning on the constraint manifold with deep neural networks
P Kicki, P Liu, D Tateo, H Bou-Ammar, K Walas, P Skrzypczyński, J Peters
IEEE Transactions on Robotics, 2023
92023
Dimensionality reduction and prioritized exploration for policy search
M Memmel, P Liu, D Tateo, J Peters
International Conference on Artificial Intelligence and Statistics, 2134-2157, 2022
42022
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
P Liu, H Bou-Ammar, J Peters, D Tateo
arXiv preprint arXiv:2404.09080, 2024
22024
Energy-based Contact Planning under Uncertainty for Robot Air Hockey
J Jankowski, A Marić, P Liu, D Tateo, J Peters, S Calinon
arXiv preprint arXiv:2407.03705, 2024
2024
ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds
S Gu, P Liu, A Kshirsagar, G Chen, J Peters, A Knoll
IEEE Transactions on Automation Science and Engineering, 2024
2024
ReDSDF: Regularized Deep Signed Distance Fields for Robotics
P Liu, K Zhang, D Tateo, S Jauhri, J Peters, G Chalvatzaki
2022
The system can't perform the operation now. Try again later.
Articles 1–11