| 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 | 324 | 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 | 156 | 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 | 151 | 2020 |
| 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 | 88 | 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 | 75 | 2020 |
| 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 | 41 | 2019 |
| 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 | 35 | 2022 |
| 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 | 35 | 2021 |
| 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 | 32 | 2018 |
| 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 | 25 | 2020 |
| Robotic control using action image (s) and critic network SMK Zadeh, D Kappler, J Luo, J Bingham, M Kalakrishnan US Patent 11,607,802, 2023 | 2 | 2023 |
| Robot collision detection using cascading variational autoencoder J Bingham, J Luo US Patent 11,285,604, 2022 | 1 | 2022 |
| Reinforcement learning for contact-rich tasks in automation systems E Solowjow, JLA Ojea, C Wen, J Luo US Patent App. 16/970,450, 2021 | 1 | 2021 |
| Reinforcement Learning for Robotic Assembly with Force Control J Luo University of California, Berkeley, 2020 | 1 | 2020 |
| REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Z Hu, A Rovinsky, J Luo, V Kumar, A Gupta, S Levine arXiv preprint arXiv:2309.03322, 2023 | | 2023 |
| Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning J Luo, P Dong, J Wu, A Kumar, X Geng, S Levine 7th Annual Conference on Robot Learning, 2023 | | 2023 |
| Multi-Stage Cable Routing through Hierarchical Imitation Learning J Luo, C Xu, X Geng, G Feng, K Fang, L Tan, S Schaal, S Levine arXiv preprint arXiv:2307.08927, 2023 | | 2023 |
| Offline meta reinforcement learning for online adaptation for robotic control tasks J Luo, S Schaal, SV Levine, Z Zihao US Patent App. 17/945,871, 2023 | | 2023 |
| Machine-learnable robotic control plans N Ye, M Bandari, KJA Kronander, BVSRK Kolluri, J Luo, W Lian, ... US Patent App. 17/398,537, 2023 | | 2023 |
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
