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Jianlan Luo
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Journal Articles
- 2024
- [j5]Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine:
Multistage Cable Routing Through Hierarchical Imitation Learning. IEEE Trans. Robotics 40: 1476-1491 (2024) - 2020
- [j4]Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg:
UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands. IEEE Robotics Autom. Lett. 5(2): 2286-2293 (2020) - 2015
- [j3]Li-Qun Cao, Keqi Li, Jianlan Luo, Yau-Shu Wong:
A Multiscale Approach and a Hybrid FE-FDTD Algorithm for 3D Time-Dependent Maxwell's Equations in Composite Materials. Multiscale Model. Simul. 13(4): 1446-1477 (2015) - 2014
- [j2]Lei Zhang, Li-Qun Cao, Jianlan Luo:
Multiscale Analysis and Computation for a Stationary Schrödinger-Poisson System in Heterogeneous Nanostructures. Multiscale Model. Simul. 12(4): 1561-1591 (2014) - 2010
- [j1]Li-Qun Cao, Jianlan Luo, Chong-yu Wang:
Multiscale analysis and numerical algorithm for the Schrödinger equations in heterogeneous media. Appl. Math. Comput. 217(8): 3955-3973 (2010)
Conference and Workshop Papers
- 2023
- [c12]Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine:
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. CoRL 2023: 1348-1361 - [c11]Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine:
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. CoRL 2023: 1930-1949 - 2022
- [c10]Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jon Scholz, Stefan Schaal, Sergey Levine:
Offline Meta-Reinforcement Learning for Industrial Insertion. ICRA 2022: 6386-6393 - 2021
- [c9]Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz:
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study. Robotics: Science and Systems 2021 - 2020
- [c8]Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan:
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. ICRA 2020: 3597-3603 - [c7]Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards. IROS 2020: 5548-5555 - 2019
- [c6]Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice M. Agogino, Aviv Tamar, Pieter Abbeel:
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly. ICRA 2019: 3080-3087 - [c5]Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Residual Reinforcement Learning for Robot Control. ICRA 2019: 6023-6029 - [c4]Xinyi Ren, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Abhishek Gupta, Aviv Tamar, Pieter Abbeel:
Domain Randomization for Active Pose Estimation. ICRA 2019: 7228-7234 - 2018
- [c3]Jianlan Luo, Riley Edmunds, Franklin Rice, Alice M. Agogino:
Tensegrity Robot Locomotion Under Limited Sensory Inputs via Deep Reinforcement Learning. ICRA 2018: 6260-6267 - [c2]Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice M. Agogino:
Deep Reinforcement Learning for Robotic Assembly of Mixed Deformable and Rigid Objects. IROS 2018: 2062-2069 - 2014
- [c1]Jianlan Luo, Zhewen Tian, Jintao Yang:
On the control of a two-wheeled balancing path-following robot. ROBIO 2014: 1952-1957
Informal and Other Publications
- 2024
- [i16]Jianlan Luo, Charles Xu, Fangchen Liu, Liam Tan, Zipeng Lin, Jeffrey Wu, Pieter Abbeel, Sergey Levine:
FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning. CoRR abs/2401.08553 (2024) - [i15]Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine:
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning. CoRR abs/2401.16013 (2024) - [i14]Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, Chelsea Finn:
Yell At Your Robot: Improving On-the-Fly from Language Corrections. CoRR abs/2403.12910 (2024) - [i13]Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Lawrence Yunliang Chen, Pannag Sanketi, Quan Vuong, Ted Xiao, Dorsa Sadigh, Chelsea Finn, Sergey Levine:
Octo: An Open-Source Generalist Robot Policy. CoRR abs/2405.12213 (2024) - 2023
- [i12]Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine:
Multi-Stage Cable Routing through Hierarchical Imitation Learning. CoRR abs/2307.08927 (2023) - [i11]Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine:
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. CoRR abs/2309.03322 (2023) - [i10]Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine:
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning. CoRR abs/2310.11731 (2023) - [i9]Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine:
RLIF: Interactive Imitation Learning as Reinforcement Learning. CoRR abs/2311.12996 (2023) - 2021
- [i8]Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz:
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study. CoRR abs/2103.11512 (2021) - [i7]Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jonathan Scholz, Stefan Schaal, Sergey Levine:
Offline Meta-Reinforcement Learning for Industrial Insertion. CoRR abs/2110.04276 (2021) - 2020
- [i6]Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan:
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data. CoRR abs/2005.06594 (2020) - 2019
- [i5]Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice M. Agogino, Aviv Tamar, Pieter Abbeel:
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly. CoRR abs/1903.01066 (2019) - [i4]Xinyi Ren, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Abhishek Gupta, Aviv Tamar, Pieter Abbeel:
Domain Randomization for Active Pose Estimation. CoRR abs/1903.03953 (2019) - [i3]Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards. CoRR abs/1906.05841 (2019) - [i2]Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg:
UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands. CoRR abs/1910.10900 (2019) - 2018
- [i1]Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine:
Residual Reinforcement Learning for Robot Control. CoRR abs/1812.03201 (2018)
Coauthor Index
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