| Calibrate before use: Improving few-shot performance of language models TZ Zhao, E Wallace, S Feng, D Klein, S Singh ICML (2021), 2021 | 1119 | 2021 |
| Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware TZ Zhao, V Kumar, S Levine, C Finn RSS (2023), 2023 | 240 | 2023 |
| Open x-embodiment: Robotic learning datasets and RT-x models Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ... Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023 | 218* | 2023 |
| Concealed Data Poisoning Attacks on NLP Models E Wallace, TZ Zhao, S Feng, S Singh NAACL (2021), 2020 | 165* | 2020 |
| Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation Z Fu, TZ Zhao, C Finn arXiv preprint arXiv:2401.02117, 2024 | 130 | 2024 |
| Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention A Gupta, J Yu, TZ Zhao, V Kumar, A Rovinsky, K Xu, T Devlin, S Levine ICRA (2021), 2021 | 92 | 2021 |
| Offline meta-reinforcement learning for industrial insertion TZ Zhao, J Luo, O Sushkov, R Pevceviciute, N Heess, J Scholz, S Schaal, ... ICRA (2022), 2021 | 79 | 2021 |
| Bridgedata v2: A dataset for robot learning at scale HR Walke, K Black, TZ Zhao, Q Vuong, C Zheng, P Hansen-Estruch, ... CoRL (2023), 2023 | 64 | 2023 |
| MELD: Meta-Reinforcement Learning from Images via Latent State Models TZ Zhao, A Nagabandi, K Rakelly, C Finn, S Levine CoRL (2020), 2020 | 42 | 2020 |
| Waypoint-based imitation learning for robotic manipulation LX Shi, A Sharma, TZ Zhao, C Finn CoRL (2023), 2023 | 34 | 2023 |
| Droid: A large-scale in-the-wild robot manipulation dataset A Khazatsky, K Pertsch, S Nair, A Balakrishna, S Dasari, S Karamcheti, ... arXiv preprint arXiv:2403.12945, 2024 | 28 | 2024 |
| Yell at your robot: Improving on-the-fly from language corrections LX Shi, Z Hu, TZ Zhao, A Sharma, K Pertsch, J Luo, S Levine, C Finn arXiv preprint arXiv:2403.12910, 2024 | 25 | 2024 |
| Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0 A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 9 | 2024 |
| Calibrate Before Use: Improving Few-Shot Performance of Language Models.” arXiv TZ Zhao, E Wallace, S Feng, D Klein, S Singh arXiv preprint arXiv:2102.09690, 2021 | 7 | 2021 |
| Surgical robot transformer (srt): Imitation learning for surgical tasks JW Kim, TZ Zhao, S Schmidgall, A Deguet, M Kobilarov, C Finn, A Krieger arXiv preprint arXiv:2407.12998, 2024 | 5 | 2024 |
| ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation J Aldaco, T Armstrong, R Baruch, J Bingham, S Chan, K Draper, ... arXiv preprint arXiv:2405.02292, 2024 | 5 | 2024 |
| Aloha unleashed: A simple recipe for robot dexterity TZ Zhao, J Tompson, D Driess, P Florence, SKS Ghasemipour, C Finn, ... 8th Annual Conference on Robot Learning, 2024 | 3 | 2024 |
| Yell At Your Robot: Improving On-the-Fly from Language Corrections L Xiaoyang Shi, Z Hu, TZ Zhao, A Sharma, K Pertsch, J Luo, S Levine, ... arXiv e-prints, arXiv: 2403.12910, 2024 | | 2024 |
| Surgical Robot Transformer (SRT): Imitation Learning for Surgical Subtasks JW Kim, TZ Zhao, S Schmidgall, A Deguet, M Kobilarov, C Finn, A Krieger 8th Annual Conference on Robot Learning, 0 | | |
| Mobile ALOHA: Learning Bimanual Mobile Manipulation using Low-Cost Whole-Body Teleoperation Z Fu, TZ Zhao, C Finn 8th Annual Conference on Robot Learning, 0 | | |
Chelsea FinnStanford University, Physical IntelligenceVerified email at cs.stanford.edu
