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ORCIDZhanpeng He
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2020 – today
- 2024
[c10]Zhanpeng He, Matei T. Ciocarlie:
MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy. ICRA 2024: 7764-7771- [c9]Siddharth Singi, Zhanpeng He, Alvin Pan, Sandip Patel, Gunnar A. Sigurdsson, Robinson Piramuthu, Shuran Song, Matei T. Ciocarlie:
Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning. ICRA 2024: 7939-7945 - [i13]Sharfin Islam, Zhanpeng He, Matei T. Ciocarlie:
Task-Based Design and Policy Co-Optimization for Tendon-driven Underactuated Kinematic Chains. CoRR abs/2405.14566 (2024) - 2023
- [j5]Tao Zhang
, Zhanpeng He, Zhihua Chen:
A Decoupling Matrix-Based Learning Control Scheme for the Machine Directional Register of Roll-to-Roll Systems. IEEE Trans. Ind. Electron. 70(8): 8398-8407 (2023) - [c8]Zhanpeng He, Nikhil Chavan Dafle, Jinwook Huh, Shuran Song, Volkan Isler:
Pick2Place: Task-aware 6DoF Grasp Estimation via Object-Centric Perspective Affordance. ICRA 2023: 7996-8002 - [i12]Siddharth Singi, Zhanpeng He, Alvin Pan, Sandip Patel, Gunnar A. Sigurdsson, Robinson Piramuthu, Shuran Song, Matei T. Ciocarlie:
Decision Making for Human-in-the-loop Robotic Agents via Uncertainty-Aware Reinforcement Learning. CoRR abs/2303.06710 (2023) - [i11]Zhanpeng He, Nikhil Chavan Dafle, Jinwook Huh, Shuran Song, Volkan Isler:
Pick2Place: Task-aware 6DoF Grasp Estimation via Object-Centric Perspective Affordance. CoRR abs/2304.04100 (2023) - [i10]Zhanpeng He, Matei T. Ciocarlie:
MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy. CoRR abs/2309.17227 (2023) - 2022
- [j4]Zhenjia Xu, Zhanpeng He, Shuran Song:
Universal Manipulation Policy Network for Articulated Objects. IEEE Robotics Autom. Lett. 7(2): 2447-2454 (2022) - [c7]Zhanpeng He, Matei T. Ciocarlie:
Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning. ICRA 2022: 2714-2721 - 2021
- [j3]Tianjian Chen, Zhanpeng He, Matei T. Ciocarlie:
Co-designing hardware and control for robot hands. Sci. Robotics 6(54): 2133 (2021) - [i9]Zhenjia Xu, Zhanpeng He, Shuran Song:
UMPNet: Universal Manipulation Policy Network for Articulated Objects. CoRR abs/2109.05668 (2021) - [i8]Zhanpeng He, Matei T. Ciocarlie:
Discovering Synergies for Robot Manipulation with Multi-Task Reinforcement Learning. CoRR abs/2110.01530 (2021) - 2020
- [j2]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning a latent space of robot skills. Int. J. Robotics Res. 39(10-11) (2020) - [c6]Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song:
Learning 3D Dynamic Scene Representations for Robot Manipulation. CoRL 2020: 126-142 - [c5]Tianjian Chen, Zhanpeng He, Matei T. Ciocarlie:
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning. CoRL 2020: 1158-1173 - [c4]Bohan Wu, Feng Xu, Zhanpeng He, Abhi Gupta, Peter K. Allen:
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks. IROS 2020: 9720-9727 - [i7]Bohan Wu, Feng Xu, Zhanpeng He, Abhi Gupta, Peter K. Allen:
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks. CoRR abs/2003.04956 (2020) - [i6]Tianjian Chen, Zhanpeng He, Matei T. Ciocarlie:
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning. CoRR abs/2008.04460 (2020) - [i5]Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song:
Learning 3D Dynamic Scene Representations for Robot Manipulation. CoRR abs/2011.01968 (2020)
2010 – 2019
- 2019
- [j1]Wanyuan Wang, Zhanpeng He, Peng Shi, Weiwei Wu, Yichuan Jiang, Bo An, Zhifeng Hao, Bing Chen:
Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks. IEEE Trans. Mob. Comput. 18(6): 1419-1432 (2019) - [c3]Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, Sergey Levine:
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning. CoRL 2019: 1094-1100 - [i4]Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, Sergey Levine:
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning. CoRR abs/1910.10897 (2019) - 2018
- [c2]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. ISER 2018: 267-279 - [i3]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning composable robot skills. CoRR abs/1809.10253 (2018) - [i2]Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme:
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. CoRR abs/1810.00146 (2018) - [i1]Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR abs/1810.02422 (2018) - 2016
- [c1]Wanyuan Wang, Zhanpeng He, Peng Shi, Weiwei Wu, Yichuan Jiang:
Truthful Team Formation for Crowdsourcing in Social Networks: (Extended Abstract). AAMAS 2016: 1327-1328
Coauthor Index
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