Hehui Zheng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Neural Architecture

Deformable Object Tracking

Multiagent Environments

Top Venues

IEEE Robotics Autom. Lett.

Publications

Elham Amin Mansour, Hehui Zheng, Robert K. Katzschmann
Fast Point Cloud to Mesh Reconstruction for Deformable Object Tracking. ROBOVIS (2024)
Zhaoting Li, Miguel Zamora, Hehui Zheng, Stelian Coros
Embracing Safe Contacts with Contact-aware Planning and Control. CoRR (2023)
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 Pohang, 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 (2023)
Elham Amin Mansour, Hehui Zheng, Robert K. Katzschmann
Fast Point-cloud to Mesh Reconstruction for Deformable Object Tracking. CoRR (2023)
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 (2022)
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)
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)
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 (2021)
Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
DSNAS: Direct Neural Architecture Search without Parameter Retraining. CoRR (2020)
Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
An Adversarial Approach to Private Flocking in Mobile Robot Teams. IEEE Robotics Autom. Lett. 5 (2) (2020)
Shoukang Hu, Sirui Xie, Hehui Zheng, Chunxiao Liu, Jianping Shi, Xunying Liu, Dahua Lin
DSNAS: Direct Neural Architecture Search Without Parameter Retraining. CVPR (2020)
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin
SNAS: stochastic neural architecture search. ICLR (Poster) (2019)
Hehui Zheng, Jacopo Panerati, Giovanni Beltrame, Amanda Prorok
An Adversarial Approach to Private Flocking in Mobile Robot Teams. CoRR (2019)
Sirui Xie, Hehui Zheng, Chunxiao Liu, Liang Lin
SNAS: Stochastic Neural Architecture Search. CoRR (2018)