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Tingnan Zhang
Tingnan Zhang
Google DeepMind
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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
9122018
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
5442020
A terradynamics of legged locomotion on granular media
C Li, T Zhang, DI Goldman
science 339 (6126), 1408-1412, 2013
5082013
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
2772016
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
2312023
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
1672020
Policies modulating trajectory generators
A Iscen, K Caluwaerts, J Tan, T Zhang, E Coumans, V Sindhwani, ...
Conference on Robot Learning, 916-926, 2018
1452018
The effectiveness of resistive force theory in granular locomotion
T Zhang, DI Goldman
Physics of Fluids 26 (10), 2014
1442014
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
972022
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
972022
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
822021
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
742015
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
712021
Pivot: Iterative visual prompting elicits actionable knowledge for vlms
S Nasiriany, F Xia, W Yu, T Xiao, J Liang, I Dasgupta, A Xie, D Driess, ...
arXiv preprint arXiv:2402.07872, 2024
612024
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
542019
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
522023
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
502013
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
452022
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
452022
Barkour: Benchmarking animal-level agility with quadruped robots
K Caluwaerts, A Iscen, JC Kew, W Yu, T Zhang, D Freeman, KH Lee, ...
arXiv preprint arXiv:2305.14654, 2023
412023
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