Jianlan Luo

According to our database, Jianlan Luo authored at least 23 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multistage Cable Routing Through Hierarchical Imitation Learning.

Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine

IEEE Trans. Robotics, 2024

Yell At Your Robot: Improving On-the-Fly from Language Corrections.

Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z. Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, Chelsea Finn

CoRR, 2024

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.

Jianlan Luo, Zheyuan Hu, Charles Xu, You Liang Tan, Jacob Berg, Archit Sharma, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine

CoRR, 2024

FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning.

Jianlan Luo, Charles Xu, Fangchen Liu, Liam Tan, Zipeng Lin, Jeffrey Wu, Pieter Abbeel, Sergey Levine

CoRR, 2024

2023

RLIF: Interactive Imitation Learning as Reinforcement Learning.

Jianlan Luo, Perry Dong, Yuexiang Zhai, Yi Ma, Sergey Levine

CoRR, 2023

Multi-Stage Cable Routing through Hierarchical Imitation Learning.

Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine

CoRR, 2023

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning.

Jianlan Luo, Perry Dong, Jeffrey Wu, Aviral Kumar, Xinyang Geng, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation.

Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

2022

Offline Meta-Reinforcement Learning for Industrial Insertion.

Tony Z. Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jon Scholz, Stefan Schaal, Sergey Levine

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study.

Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020

UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands.

Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg

IEEE Robotics Autom. Lett., 2020

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards.

Gerrit Schoettler, Ashvin Nair, Jianlan Luo, Shikhar Bahl, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data.

Mohi Khansari, Daniel Kappler, Jianlan Luo, Jeff Bingham, Mrinal Kalakrishnan

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

UniGrasp: Learning a Unified Model to Grasp with N-Fingered Robotic Hands.

Lin Shao, Fábio Ferreira, Mikael Jorda, Varun Nambiar, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Oussama Khatib, Jeannette Bohg

CoRR, 2019

Domain Randomization for Active Pose Estimation.

Xinyi Ren, Jianlan Luo, Eugen Solowjow, Juan Aparicio Ojea, Abhishek Gupta, Aviv Tamar, Pieter Abbeel

Proceedings of the International Conference on Robotics and Automation, 2019

Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly.

Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice M. Agogino, Aviv Tamar, Pieter Abbeel

Proceedings of the International Conference on Robotics and Automation, 2019

Residual Reinforcement Learning for Robot Control.

Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Deep Reinforcement Learning for Robotic Assembly of Mixed Deformable and Rigid Objects.

Jianlan Luo, Eugen Solowjow, Chengtao Wen, Juan Aparicio Ojea, Alice M. Agogino

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Tensegrity Robot Locomotion Under Limited Sensory Inputs via Deep Reinforcement Learning.

Jianlan Luo, Riley Edmunds, Franklin Rice, Alice M. Agogino

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2015

A Multiscale Approach and a Hybrid FE-FDTD Algorithm for 3D Time-Dependent Maxwell's Equations in Composite Materials.

Li-Qun Cao, Keqi Li, Jianlan Luo, Yau-Shu Wong

Multiscale Model. Simul., 2015

2014

Multiscale Analysis and Computation for a Stationary Schrödinger-Poisson System in Heterogeneous Nanostructures.

Lei Zhang, Li-Qun Cao, Jianlan Luo

Multiscale Model. Simul., 2014

On the control of a two-wheeled balancing path-following robot.

Jianlan Luo, Zhewen Tian, Jintao Yang

Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

2010

Multiscale analysis and numerical algorithm for the Schrödinger equations in heterogeneous media.

Li-Qun Cao, Jianlan Luo, Chong-yu Wang

Appl. Math. Comput., 2010