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Jianlan Luo
Jianlan Luo
UC Berkeley, Google X
Verified email at eecs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
4002019
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
1852019
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
1722020
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
962018
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
902020
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
662023
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
542022
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
502021
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
482019
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
342018
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
252020
Octo: An open-source generalist robot policy
OM Team, D Ghosh, H Walke, K Pertsch, K Black, O Mees, S Dasari, ...
182023
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
72024
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
62023
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
52023
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
42023
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
32024
Unigrasp: Learning a unified model to grasp with n-fingered robotic hands
L Shao, F Ferreira, M Jorda, V Nambiar, J Luo, E Solowjow, JA Ojea, ...
ArXiv, 0
3
Reboot: Reuse data for bootstrapping efficient real-world dexterous manipulation
Z Hu, A Rovinsky, J Luo, V Kumar, A Gupta, S Levine
Conference on Robot Learning, 1930-1949, 2023
22023
Reinforcement learning for contact-rich tasks in automation systems
E Solowjow, JLA Ojea, C Wen, J Luo
US Patent App. 16/970,450, 2021
22021
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Articles 1–20