Jianlan Luo

Orcid: 0009-0008-8029-7794

According to our database1, Jianlan Luo authored at least 26 papers between 2010 and 2024.

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Bibliography

2024
Multistage Cable Routing Through Hierarchical Imitation Learning.
IEEE Trans. Robotics, 2024

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning.
CoRR, 2024

Octo: An Open-Source Generalist Robot Policy.
CoRR, 2024

Yell At Your Robot: Improving On-the-Fly from Language Corrections.
CoRR, 2024

FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RLIF: Interactive Imitation Learning as Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Multi-Stage Cable Routing through Hierarchical Imitation Learning.
CoRR, 2023

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning.
Proceedings of the Conference on Robot Learning, 2023

REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation.
Proceedings of the Conference on Robot Learning, 2023

2022
Offline Meta-Reinforcement Learning for Industrial Insertion.
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.
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.
IEEE Robotics Autom. Lett., 2020

Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards.
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.
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.
CoRR, 2019

Domain Randomization for Active Pose Estimation.
Proceedings of the International Conference on Robotics and Automation, 2019

Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly.
Proceedings of the International Conference on Robotics and Automation, 2019

Residual Reinforcement Learning for Robot Control.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Deep Reinforcement Learning for Robotic Assembly of Mixed Deformable and Rigid Objects.
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.
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.
Multiscale Model. Simul., 2015

2014
Multiscale Analysis and Computation for a Stationary Schrödinger-Poisson System in Heterogeneous Nanostructures.
Multiscale Model. Simul., 2014

On the control of a two-wheeled balancing path-following robot.
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.
Appl. Math. Comput., 2010


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