Follow
Tingnan Zhang
Tingnan Zhang
Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
J Tan, T Zhang, E Coumans, A Iscen, Y Bai, D Hafner, S Bohez, ...
Robotics: Science and Systems, 2018
8432018
A terradynamics of legged locomotion on granular media
C Li, T Zhang, DI Goldman
science 339 (6126), 1408-1412, 2013
4832013
Learning agile robotic locomotion skills by imitating animals
XB Peng, E Coumans, T Zhang, TW Lee, J Tan, S Levine
arXiv preprint arXiv:2004.00784, 2020
4782020
A review on locomotion robophysics: the study of movement at the intersection of robotics, soft matter and dynamical systems
J Aguilar, T Zhang, F Qian, M Kingsbury, B McInroe, N Mazouchova, C Li, ...
Reports on Progress in Physics 79 (11), 110001, 2016
2652016
Language to rewards for robotic skill synthesis
W Yu, N Gileadi, C Fu, S Kirmani, KH Lee, MG Arenas, HTL Chiang, ...
arXiv preprint arXiv:2306.08647, 2023
1522023
Data efficient reinforcement learning for legged robots
Y Yang, K Caluwaerts, A Iscen, T Zhang, J Tan, V Sindhwani
Conference on Robot Learning, 1-10, 2020
1492020
Policies modulating trajectory generators
A Iscen, K Caluwaerts, J Tan, T Zhang, E Coumans, V Sindhwani, ...
Conference on Robot Learning, 916-926, 2018
1342018
The effectiveness of resistive force theory in granular locomotion
T Zhang, DI Goldman
Physics of Fluids 26 (10), 2014
1322014
Fast and efficient locomotion via learned gait transitions
Y Yang, T Zhang, E Coumans, J Tan, B Boots
Conference on robot learning, 773-783, 2022
842022
Principles of appendage design in robots and animals determining terradynamic performance on flowable ground
F Qian, T Zhang, W Korff, PB Umbanhowar, RJ Full, DI Goldman
Bioinspiration & biomimetics 10 (5), 056014, 2015
732015
Visual-locomotion: Learning to walk on complex terrains with vision
W Yu, D Jain, A Escontrela, A Iscen, P Xu, E Coumans, S Ha, J Tan, ...
5th Annual Conference on Robot Learning, 2021
702021
Adversarial motion priors make good substitutes for complex reward functions
A Escontrela, XB Peng, W Yu, T Zhang, A Iscen, K Goldberg, P Abbeel
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
692022
Simgan: Hybrid simulator identification for domain adaptation via adversarial reinforcement learning
Y Jiang, T Zhang, D Ho, Y Bai, CK Liu, S Levine, J Tan
2021 IEEE International Conference on Robotics and Automation (ICRA), 2884-2890, 2021
572021
Modeling of the interaction of rigid wheels with dry granular media
S Agarwal, C Senatore, T Zhang, M Kingsbury, K Iagnemma, DI Goldman, ...
Journal of Terramechanics 85, 1-14, 2019
482019
Ground fluidization promotes rapid running of a lightweight robot
T Zhang, F Qian, C Li, P Masarati, AM Hoover, P Birkmeyer, A Pullin, ...
The International Journal of Robotics Research 32 (7), 859-869, 2013
482013
On the sample complexity of stability constrained imitation learning
S Tu, A Robey, T Zhang, N Matni
Learning for Dynamics and Control Conference, 180-191, 2022
422022
Learning model predictive controllers with real-time attention for real-world navigation
X Xiao, T Zhang, K Choromanski, E Lee, A Francis, J Varley, S Tu, ...
arXiv preprint arXiv:2209.10780, 2022
382022
Walking and running on yielding and fluidizing ground
F Qian, T Zhang, C Li, P Masarati, AM Hoover, P Birkmeyer, A Pullin, ...
382012
Constrained decision transformer for offline safe reinforcement learning
Z Liu, Z Guo, Y Yao, Z Cen, W Yu, T Zhang, D Zhao
International Conference on Machine Learning, 21611-21630, 2023
372023
Safe reinforcement learning for legged locomotion
TY Yang, T Zhang, L Luu, S Ha, J Tan, W Yu
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
292022
The system can't perform the operation now. Try again later.
Articles 1–20