Paul Wohlhart

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研究焦点

主要成就

代表论文

1. 1
   RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

   267 次引用 · 2023
2. 2
   Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping

   47 次引用 · 2018
3. 3
   Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks

   25 次引用 · 2019
4. 4
   Open-World Object Manipulation using Pre-trained Vision-Language Models

   24 次引用 · 2023
5. 5
   Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators

   15 次引用 · 2023
6. 6
   RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches

   5 次引用 · 2023
7. 7
   PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale

   3 次引用 · 2022
8. 8
   Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators

   2 次引用 · 2023

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