| 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 | 934 | 2018 |
| 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 | 579 | 2020 |
| A terradynamics of legged locomotion on granular media C Li, T Zhang, DI Goldman science 339 (6126), 1408-1412, 2013 | 520 | 2013 |
| 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 | 286 | 2016 |
| 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 | 256 | 2023 |
| 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 | 173 | 2020 |
| The effectiveness of resistive force theory in granular locomotion T Zhang, DI Goldman Physics of Fluids 26 (10), 2014 | 149 | 2014 |
| Policies modulating trajectory generators A Iscen, K Caluwaerts, J Tan, T Zhang, E Coumans, V Sindhwani, ... Conference on Robot Learning, 916-926, 2018 | 147 | 2018 |
| 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 | 103 | 2022 |
| 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 | 99 | 2022 |
| 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 | 85 | 2021 |
| 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 | 77 | 2024 |
| 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 | 77 | 2021 |
| 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 | 76 | 2015 |
| 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 | 65 | 2023 |
| 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 | 55 | 2019 |
| 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 | 51 | 2023 |
| 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 | 50 | 2013 |
| 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 | 49 | 2022 |
| 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 | 47 | 2022 |
Daniel I. GoldmanProfessor of Physics, Georgia TechVerified email at physics.gatech.edu
