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Zhanpeng He
Zhanpeng He
Verified email at cs.columbia.edu - Homepage
Title
Cited by
Cited by
Year
Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning
T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn, S Levine
Conference on robot learning, 1094-1100, 2020
8782020
Universal manipulation policy network for articulated objects
Z Xu, Z He, S Song
IEEE robotics and automation letters 7 (2), 2447-2454, 2022
612022
Learning 3d dynamic scene representations for robot manipulation
Z Xu, Z He, J Wu, S Song
arXiv preprint arXiv:2011.01968, 2020
452020
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
T Chen, Z He, M Ciocarlie
arXiv preprint arXiv:2008.04460, 2020
412020
Zero-shot skill composition and simulation-to-real transfer by learning task representations
Z He, R Julian, E Heiden, H Zhang, S Schaal, JJ Lim, G Sukhatme, ...
arXiv preprint arXiv:1810.02422, 2018
202018
Scaling simulation-to-real transfer by learning a latent space of robot skills
RC Julian, E Heiden, Z He, H Zhang, S Schaal, JJ Lim, GS Sukhatme, ...
The International Journal of Robotics Research 39 (10-11), 1259-1278, 2020
17*2020
Squirl: Robust and efficient learning from video demonstration of long-horizon robotic manipulation tasks
B Wu, F Xu, Z He, A Gupta, PK Allen
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
132020
Meta-world: A 352 benchmark and evaluation for multi-task and meta reinforcement learning
T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn, S Levine
Conference on 353, 1094-1100, 0
13
Co-designing hardware and control for robot hands
T Chen, Z He, M Ciocarlie
Science Robotics 6 (54), eabg2133, 2021
92021
Auto-conditioned Recurrent Mixture Density Networks for Learning Generalizable Robot Skills
H Zhang, E Heiden, R Julian, Z He, S Schaal, J Lim, G Sukhatme
arXiv preprint arXiv:1810.00146, 2018
82018
Meta-world: a benchmark and evaluation for multi-task and meta-reinforcement learning (2019)
T Yu, D Quillen, Z He, R Julian, A Narayan, H Shively, A Bellathur, ...
URL https://github. com/rlworkgroup/metaworld, 1910
81910
Pick2place: Task-aware 6dof grasp estimation via object-centric perspective affordance
Z He, N Chavan-Dafle, J Huh, S Song, V Isler
2023 IEEE International Conference on Robotics and Automation (ICRA), 7996-8002, 2023
52023
Decision making for human-in-the-loop robotic agents via uncertainty-aware reinforcement learning
S Singi, Z He, A Pan, S Patel, GA Sigurdsson, R Piramuthu, S Song, ...
arXiv preprint arXiv:2303.06710, 2023
42023
Discovering synergies for robot manipulation with multi-task reinforcement learning
Z He, M Ciocarlie
2022 International Conference on Robotics and Automation (ICRA), 2714-2721, 2022
42022
447 Sergey Levine. Meta-world: A benchmark and evaluation for multi-task and meta reinforcement 448 learning
T Yu, D Quillen, Z He, R Julian, K Hausman, C Finn
Conference on Robot Learning, 1094-1100, 0
3
MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy
Z He, M Ciocarlie
arXiv preprint arXiv:2309.17227, 2023
12023
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