| 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 | 620 | 2018 |
| A terradynamics of legged locomotion on granular media C Li, T Zhang, DI Goldman science 339 (6126), 1408-1412, 2013 | 405 | 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 | 263 | 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 | 208 | 2016 |
| The effectiveness of resistive force theory in granular locomotion T Zhang, DI Goldman Physics of Fluids 26 (10), 101308, 2014 | 103 | 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 | 96 | 2020 |
| Policies modulating trajectory generators A Iscen, K Caluwaerts, J Tan, T Zhang, E Coumans, V Sindhwani, ... Conference on Robot Learning, 916-926, 2018 | 82 | 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 | 55 | 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 | 36 | 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 | 36 | 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 | 36 | 2013 |
| Walking and running on yielding and fluidizing ground F Qian, T Zhang, C Li, P Masarati, AM Hoover, P Birkmeyer, A Pullin, ... | 34* | 2012 |
| 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 | 28 | 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 | 27 | 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 | 25 | 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 | 21 | 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 | 19 | 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 | 18 | 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 | 15 | 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 | 10 | 2022 |
Daniel I. GoldmanDunn Family Professor of Physics, Georgia TechVerified email at physics.gatech.edu
