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Chong Zhang
Chong Zhang
Verified email at ethz.ch - Homepage
Title
Cited by
Cited by
Year
Accessibility-based clustering for efficient learning of locomotion skills
C Zhang, W Yu, Z Li
2022 International Conference on Robotics and Automation (ICRA), 1600-1606, 2022
82022
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
T He, C Zhang, W Xiao, G He, C Liu, G Shi
Robotics: Science and Systems, 2024
62024
Learning Agile Locomotion on Risky Terrains
C Zhang, N Rudin, D Hoeller, M Hutter
arXiv preprint arXiv:2311.10484, 2023
52023
Custom Sine Waves Are Enough for Imitation Learning of Bipedal Gaits with Different Styles
Q Wu, C Zhang, Y Liu
2022 IEEE International Conference on Mechatronics and Automation (ICMA …, 2022
52022
Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End
C Zhang, J Jin, J Frey, N Rudin, ME Mattamala Aravena, C Cadena, ...
41st IEEE Conference on Robotics and Automation (ICRA 2024), 2024
4*2024
Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype via Terrain Authoring and Active Learning
C Zhang, L Yang
2023 IEEE International Conference on Robotics and Automation (ICRA), 9190-9196, 2023
32023
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation
T He, Z Luo, W Xiao, C Zhang, K Kitani, C Liu, G Shi
arXiv preprint arXiv:2403.04436, 2024
22024
Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers
F Shi, C Zhang, T Miki, J Lee, M Hutter, S Coros
Robotics: Science and Systems, 2024
12024
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning
T He, Z Luo, X He, W Xiao, C Zhang, W Zhang, K Kitani, C Liu, G Shi
arXiv preprint arXiv:2406.08858, 2024
2024
WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts
C Zhang, W Xiao, T He, G Shi
arXiv preprint arXiv:2406.06005, 2024
2024
Fall prediction, control, and recovery of quadruped robots
H Sun, J Yang, Y Jia, C Zhang, X Yu, C Wang
ISA Transactions, 2024
2024
Adaptive Mimic: Deep Reinforcement Learning of Parameterized Bipedal Walking from Infeasible References
C Zhang, Q Wu, L Ma, H Su
arXiv preprint arXiv:2112.03735, 2021
2021
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