| Residual reinforcement learning for robot control T Johannink, S Bahl, A Nair, J Luo, A Kumar, M Loskyll, JA Ojea, ... 2019 international conference on robotics and automation (ICRA), 6023-6029, 2019 | 473 | 2019 |
| Reinforcement learning on variable impedance controller for high-precision robotic assembly J Luo, E Solowjow, C Wen, JA Ojea, AM Agogino, A Tamar, P Abbeel 2019 International Conference on Robotics and Automation (ICRA), 3080-3087, 2019 | 208 | 2019 |
| Deep reinforcement learning for industrial insertion tasks with visual inputs and natural rewards G Schoettler, A Nair, J Luo, S Bahl, JA Ojea, E Solowjow, S Levine 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 206 | 2020 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 2023 | 192 | 2023 |
| Deep reinforcement learning for robotic assembly of mixed deformable and rigid objects J Luo, E Solowjow, C Wen, JA Ojea, AM Agogino 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 111 | 2018 |
| Unigrasp: Learning a unified model to grasp with multifingered robotic hands L Shao, F Ferreira, M Jorda, V Nambiar, J Luo, E Solowjow, JA Ojea, ... IEEE Robotics and Automation Letters 5 (2), 2286-2293, 2020 | 108 | 2020 |
| Offline meta-reinforcement learning for industrial insertion TZ Zhao, J Luo, O Sushkov, R Pevceviciute, N Heess, J Scholz, S Schaal, ... 2022 international conference on robotics and automation (ICRA), 6386-6393, 2022 | 76 | 2022 |
| Octo: An open-source generalist robot policy OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ... Robotics: Science and Systems (RSS) 2024, 2024 | 61 | 2024 |
| Robust multi-modal policies for industrial assembly via reinforcement learning and demonstrations: A large-scale study J Luo, O Sushkov, R Pevceviciute, W Lian, C Su, M Vecerik, N Ye, ... Robotics: Science and Systems (RSS) 2021, 2021 | 61 | 2021 |
| Domain randomization for active pose estimation X Ren, J Luo, E Solowjow, JA Ojea, A Gupta, A Tamar, P Abbeel 2019 International Conference on Robotics and Automation (ICRA), 7228-7234, 2019 | 50 | 2019 |
| Tensegrity robot locomotion under limited sensory inputs via deep reinforcement learning J Luo, R Edmunds, F Rice, AM Agogino 2018 IEEE International Conference on Robotics and Automation (ICRA), 6260-6267, 2018 | 37 | 2018 |
| Open X-Embodiment: Robotic learning datasets and RT-X models A Collaboration, OXE, Padalkar, A, Pooley, A, Jain, A, Bewley, A, Herzog, A ... CoRR, abs/2310.08864, 2023 | 32* | 2023 |
| Action image representation: Learning scalable deep grasping policies with zero real world data M Khansari, D Kappler, J Luo, J Bingham, M Kalakrishnan 2020 IEEE International Conference on Robotics and Automation (ICRA), 3597-3603, 2020 | 28 | 2020 |
| Multi-stage 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, 2024 | 21 | 2024 |
| Octo: An open-source generalist robot policy J OM Team, Ghosh, D, Walke, H, Pertsch, K, Black, K, Mees, O, Dasari, S ... Proceedings of Robotics: Science and Systems, Delft, Netherlands, 2023 | 16* | 2023 |
| 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 Robotics: Science and Systems (RSS) 2024, 2024 | 13 | 2024 |
| Action-quantized offline reinforcement learning for robotic skill learning J Luo, P Dong, J Wu, A Kumar, X Geng, S Levine Conference on Robot Learning, 1348-1361, 2023 | 13 | 2023 |
| 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 arXiv preprint arXiv:2401.08553, 2024 | 9 | 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 international conference on robotics and automation (ICRA), 16961-16966, 2024 | 8 | 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 | 6 | 2024 |
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
