Hehui Zheng

19 papers A* 1A 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows.
CoRR
Chenyu Yang, Denis Tarasov, Davide Liconti, Hehui Zheng, Robert K. Katzschmann
2025 J jnl
Learning Soft Robotic Dynamics with Active Exploration.
CoRR
Hehui Zheng, Bhavya Sukhija, Chenhao Li, Klemens Iten, Andreas Krause, Robert K. Katzschmann
2024 — conf
Fast Point Cloud to Mesh Reconstruction for Deformable Object Tracking.
ROBOVIS
Elham Amin Mansour, Hehui Zheng, Robert K. Katzschmann
2024 J jnl
PokeFlex: A Real-World Dataset of Deformable Objects for Robotics.
CoRR
Jan Obrist, Miguel Zamora, Hehui Zheng, Ronan Hinchet, Firat Ozdemir, Juan Zarate, Robert K. Katzschmann, Stelian Coros
2024 J jnl
PokeFlex: Towards a Real-World Dataset of Deformable Objects for Robotic Manipulation.
CoRR
Jan Obrist, Miguel Zamora, Hehui Zheng, Juan Zarate, Robert K. Katzschmann, Stelian Coros
2024 J jnl
Vision-Based Online Key Point Estimation of Deformable Robots.
Adv. Intell. Syst.
Hehui Zheng, Sebastian Pinzello, Barnabas Gavin Cangan, Thomas Buchner, Robert K. Katzschmann
2023 J jnl
Embracing Safe Contacts with Contact-aware Planning and Control.
CoRR
Zhaoting Li, Miguel Zamora, Hehui Zheng, Stelian Coros
2023 J jnl
Fast Point-cloud to Mesh Reconstruction for Deformable Object Tracking.
CoRR
Elham Amin Mansour, Hehui Zheng, Robert K. Katzschmann
2023 J jnl
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
CoRR
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
2022 J jnl
ViSE: Vision-Based 3D Real-Time Shape Estimation of Continuously Deformable Robots.
CoRR
Hehui Zheng, Sebastian Pinzello, Barnabas Gavin Cangan, Thomas Buchner, Robert K. Katzschmann
2021 A conf
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control.
IROS
Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig
2021 J jnl
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control.
CoRR
Jacopo Panerati, Hehui Zheng, Siqi Zhou, James Xu, Amanda Prorok, Angela P. Schoellig
2021 — conf
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.
NeurIPS (Competition and Demos)
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
2020 J jnl
An Adversarial Approach to Private Flocking in Mobile Robot Teams.
IEEE Robotics Autom. Lett.
Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
2020 A* conf
DSNAS: Direct Neural Architecture Search Without Parameter Retraining.
CVPR
Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
2020 J jnl
DSNAS: Direct Neural Architecture Search without Parameter Retraining.
CoRR
Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
2019 J jnl
An Adversarial Approach to Private Flocking in Mobile Robot Teams.
CoRR
Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
2019 — conf
SNAS: stochastic neural architecture search.
ICLR (Poster)
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin
2018 J jnl
SNAS: Stochastic Neural Architecture Search.
CoRR
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin