Stephen James

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研究焦点

主要成就

代表论文

1. 1
   RLBench: The Robot Learning Benchmark & Learning Environment

   315 次引用 · 2020
2. 2
   Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

   132 次引用 · 2017
3. 3
   MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion

   103 次引用 · 2020
4. 4
   Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

   101 次引用 · 2018
5. 5
   PyRep: Bringing V-REP to Deep Robot Learning

   91 次引用 · 2019
6. 6
   3D Simulation for Robot Arm Control with Deep Q-Learning

   68 次引用 · 2016
7. 7
   Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation

   66 次引用 · 2022
8. 8
   RLBench: The Robot Learning Benchmark & Learning Environment

   45 次引用 · 2019
9. 9
   Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation

   39 次引用 · 2024
10. 10
    Task-Embedded Control Networks for Few-Shot Imitation Learning

    35 次引用 · 2018

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