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Zheng Wu
Zheng Wu
在 berkeley.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion
N Fazeli, M Oller, J Wu, Z Wu, JB Tenenbaum, A Rodriguez
Science Robotics 4 (26), eaav3123, 2019
1312019
Efficient sampling-based maximum entropy inverse reinforcement learning with application to autonomous driving
Z Wu, L Sun, W Zhan, C Yang, M Tomizuka
IEEE Robotics and Automation Letters 5 (4), 5355-5362, 2020
1012020
Learning to describe scenes with programs
Y Liu, Z Wu, D Ritchie, WT Freeman, JB Tenenbaum, J Wu
International Conference on Learning Representations (ICLR), 2019, 2018
572018
Offline-online learning of deformation model for cable manipulation with graph neural networks
C Wang, Y Zhang, X Zhang, Z Wu, X Zhu, S Jin, T Tang, M Tomizuka
IEEE Robotics and Automation Letters 7 (2), 5544-5551, 2022
472022
Learning Dense Rewards for Contact-Rich Manipulation Tasks
Z Wu, W Lian, V Unhelkar, M Tomizuka, S Schaal
2021 International Conference on Robotics and Automation (ICRA), 2020
402020
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters
Z Wu, R Chang, J Ma, C Lu, CK Tang
International Joint Conference on Artificial Intelligence (IJCAI), 2018, 2018
142018
Prim-lafd: A framework to learn and adapt primitive-based skills from demonstrations for insertion tasks
Z Wu, W Lian, C Wang, M Li, S Schaal, M Tomizuka
IFAC-PapersOnLine 56 (2), 4120-4125, 2023
112023
Efficient sim-to-real transfer of contact-rich manipulation skills with online admittance residual learning
X Zhang, C Wang, L Sun, Z Wu, X Zhu, M Tomizuka
Conference on Robot Learning, 1621-1639, 2023
92023
Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference
L Sun, Z Wu, H Ma, M Tomizuka
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
82020
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning
Z Wu, Y Xie, W Lian, C Wang, Y Guo, J Chen, S Schaal, M Tomizuka
2023 International Conference on Robotics and Automation (ICRA), 2022
32022
Pearl: A Production-ready Reinforcement Learning Agent
Z Zhu, RS Braz, J Bhandari, D Jiang, Y Wan, Y Efroni, L Wang, R Xu, ...
arXiv preprint arXiv:2312.03814, 2023
22023
Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning
Z Wu, Y Li, W Zhan, C Liu, YH Liu, M Tomizuka
arXiv preprint arXiv:2404.04772, 2024
12024
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
Y Guo, J Gao, Z Wu, C Shi, J Chen
Conference on Robot Learning, 1146-1156, 2023
12023
DBPF: A Framework for Efficient and Robust Dynamic Bin-Picking
Y Li, J Zhao, Y Li, Z Wu, R Cao, M Tomizuka, YH Liu
IEEE Robotics and Automation Letters, 2024
2024
LEARNING TO ACQUIRE AND ADAPT CONTACT-RICH MANIPULATION SKILLS WITH MOTION PRIMITIVES
W Lian, S Schaal, Z Wu
US Patent App. 17/845,698, 2022
2022
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