Joseph E. Gonzalez

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研究焦点

主要成就

代表论文

1. 1
   Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones

   193 次引用 · 2021
2. 2
   Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

   103 次引用 · 2020
3. 3
   Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks

   90 次引用 · 2020
4. 4
   A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering

   81 次引用 · 2019
5. 5
   Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics

   55 次引用 · 2021
6. 6
   FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2

   38 次引用 · 2023
7. 7
   FogROS: An Adaptive Framework for Automating Fog Robotics Deployment

   37 次引用 · 2021
8. 8
   RILaaS: Robot Inference and Learning as a Service

   35 次引用 · 2020
9. 9
   Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation

   33 次引用 · 2021
10. 10
    Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies

    26 次引用 · 2021

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