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2020 – today
- 2024
[c5]Elham Amin Mansour
, Hehui Zheng, Robert K. Katzschmann:
Fast Point Cloud to Mesh Reconstruction for Deformable Object Tracking. ROBOVIS 2024: 391-409- [i9]Jan Obrist, Miguel Zamora, Hehui Zheng, Juan Zarate, Robert K. Katzschmann, Stelian Coros:
PokeFlex: Towards a Real-World Dataset of Deformable Objects for Robotic Manipulation. CoRR abs/2409.17124 (2024) - 2023
- [i8]Zhaoting Li, Miguel Zamora, Hehui Zheng, Stelian Coros:
Embracing Safe Contacts with Contact-aware Planning and Control. CoRR abs/2308.04323 (2023) - [i7]Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius:
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. CoRR abs/2308.07741 (2023) - [i6]Elham Amin Mansour, Hehui Zheng, Robert K. Katzschmann:
Fast Point-cloud to Mesh Reconstruction for Deformable Object Tracking. CoRR abs/2311.02749 (2023) - 2022
- [i5]Hehui Zheng, Sebastian Pinzello, Barnabas Gavin Cangan, Thomas Buchner, Robert K. Katzschmann:
ViSE: Vision-Based 3D Real-Time Shape Estimation of Continuously Deformable Robots. CoRR abs/2211.05222 (2022) - 2021
- [c4]Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig:
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. IROS 2021: 7512-7519 - [c3]Nico Gürtler, Felix Widmaier, Cansu Sancaktar, Sebastian Blaes, Pavel Kolev, Stefan Bauer, Manuel Wüthrich, Markus Wulfmeier, Martin A. Riedmiller, Arthur Allshire, Qiang Wang, Robert McCarthy, Hangyeol Kim, Jongchan Baek, Wookyong Kwon, Shanliang Qian, Yasunori Toshimitsu, Mike Yan Michelis, Amirhossein Kazemipour, Arman Raayatsanati, Hehui Zheng, Barnabas Gavin Cangan, Bernhard Schölkopf, Georg Martius:
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World. NeurIPS (Competition and Demos) 2021: 133-150 - [i4]Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig:
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control. CoRR abs/2103.02142 (2021) - 2020
- [j1]Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok:
An Adversarial Approach to Private Flocking in Mobile Robot Teams. IEEE Robotics Autom. Lett. 5(2): 1009-1016 (2020) - [c2]Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
DSNAS: Direct Neural Architecture Search Without Parameter Retraining. CVPR 2020: 12081-12089 - [i3]Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin:
DSNAS: Direct Neural Architecture Search without Parameter Retraining. CoRR abs/2002.09128 (2020)
2010 – 2019
- 2019
- [c1]Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin:
SNAS: stochastic neural architecture search. ICLR (Poster) 2019 - [i2]Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok:
An Adversarial Approach to Private Flocking in Mobile Robot Teams. CoRR abs/1909.10387 (2019) - 2018
- [i1]Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin:
SNAS: Stochastic Neural Architecture Search. CoRR abs/1812.09926 (2018)
Coauthor Index
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