| Open x-embodiment: Robotic learning datasets and rt-x models JJ Lim IEEE International Conference on Robotics and Automation, 2024 | 504* | 2024 |
| Octo: An open-source generalist robot policy OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ... arXiv preprint arXiv:2405.12213, 2024 | 258* | 2024 |
| Multistage cable routing through hierarchical imitation learning J Luo, C Xu, X Geng, G Feng, K Fang, L Tan, S Schaal, S Levine IEEE Transactions on Robotics 40, 1476-1491, 2024 | 37 | 2024 |
| Serl: A software suite for sample-efficient robotic reinforcement learning J Luo, Z Hu, C Xu, YL Tan, J Berg, A Sharma, S Schaal, C Finn, A Gupta, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 16961 …, 2024 | 31 | 2024 |
| Fmb: a functional manipulation benchmark for generalizable robotic learning J Luo, C Xu, F Liu, L Tan, Z Lin, J Wu, P Abbeel, S Levine The International Journal of Robotics Research, 02783649241276017, 2023 | 30 | 2023 |
| RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning C Xu, Q Li, J Luo, S Levine arXiv preprint arXiv:2412.09858, 2024 | 1 | 2024 |
| Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning J Luo, C Xu, J Wu, S Levine arXiv preprint arXiv:2410.21845, 2024 | 1 | 2024 |
| Jeffrey Wu J Luo, C Xu, J Wu, S Levine, P Dong, A Kumar, X Geng, F Liu, L Tan, Z Lin, ... University of California, Berkeley 2024, 2023 | | 2023 |