Tingnan Zhang
Cited by
Cited by
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
A terradynamics of legged locomotion on granular media
C Li, T Zhang, DI Goldman
science 339 (6126), 1408-1412, 2013
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
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
The effectiveness of resistive force theory in granular locomotion
T Zhang, DI Goldman
Physics of Fluids 26 (10), 101308, 2014
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
Policies modulating trajectory generators
A Iscen, K Caluwaerts, J Tan, T Zhang, E Coumans, V Sindhwani, ...
Conference on Robot Learning, 916-926, 2018
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
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
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
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
Walking and running on yielding and fluidizing ground
F Qian, T Zhang, C Li, P Masarati, AM Hoover, P Birkmeyer, A Pullin, ...
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
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
Motional dephasing of atomic clock spin waves in an optical lattice
SD Jenkins, T Zhang, TAB Kennedy
Journal of Physics B: Atomic, Molecular and Optical Physics 45 (12), 124005, 2012
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
Zero-shot imitation learning from demonstrations for legged robot visual navigation
X Pan, T Zhang, B Ichter, A Faust, J Tan, S Ha
2020 IEEE International Conference on Robotics and Automation (ICRA), 679-685, 2020
Model-based reinforcement learning for decentralized multiagent rendezvous
RE Wang, JC Kew, D Lee, TWE Lee, T Zhang, B Ichter, J Tan, A Faust
arXiv preprint arXiv:2003.06906, 2020
An automated system for systematic testing of locomotion on heterogeneous granular media
F Qian, K DAFFON, T ZHANG, DI Goldman
Nature-Inspired Mobile Robotics, 547-554, 2013
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
The system can't perform the operation now. Try again later.
Articles 1–20