Sotabase

Career

· Postdoctoral Researcher, UC Berkeley2022–
· Researcher, Google [X]2020–2023
· Researcher, DeepMind2019–2020
· Researcher, Everyday Robots2019–2020
· Ph.D. in Mechanical Engineering, UC Berkeley2015–2020
· Bachelor's degree, Wuhan University of Technology

Publications (34)

Octo: An Open-Source Generalist Robot Policy
Robotics: Science and Systems · 2024
928
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0
IEEE International Conference on Robotics and Automation · 2023
785
cited
Residual Reinforcement Learning for Robot Control
IEEE International Conference on Robotics and Automation · 2018
500
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
209
cited
Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
IEEE International Conference on Robotics and Automation · 2019
191
cited
UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands
IEEE Robotics and Automation Letters · 2019
129
cited
Yell At Your Robot: Improving On-the-Fly from Language Corrections
Robotics: Science and Systems · 2024
119
cited
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2024
100
cited
Deep Reinforcement Learning for Robotic Assembly of Mixed Deformable and Rigid Objects
IEEE/RJS International Conference on Intelligent RObots and Systems · 2018
92
cited
Multistage Cable Routing Through Hierarchical Imitation Learning
IEEE Transactions on robotics · 2023
89
cited
Offline Meta-Reinforcement Learning for Industrial Insertion
IEEE International Conference on Robotics and Automation · 2021
89
cited
FMB: A functional manipulation benchmark for generalizable robotic learning
Int. J. Robotics Res. · 2024
73
cited
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Robotics: Science and Systems · 2021
69
cited
Domain Randomization for Active Pose Estimation
IEEE International Conference on Robotics and Automation · 2019
42
cited
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning
Conference on Robot Learning · 2023
36
cited
RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
arXiv.org · 2024
30
cited
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data
IEEE International Conference on Robotics and Automation · 2020
26
cited
RLIF: Interactive Imitation Learning as Reinforcement Learning
International Conference on Learning Representations · 2023
26
cited
Tensegrity Robot Locomotion Under Limited Sensory Inputs via Deep Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2018
26
cited
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Jianlan Luo | Researcher Profile | Sotabase | Sotabase