Alex Church

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研究焦点

主要成就

代表论文

1. 1
   From Pixels to Percepts: Highly Robust Edge Perception and Contour Following Using Deep Learning and an Optical Biomimetic Tactile Sensor

   113 次引用 · 2019
2. 2
   Tactile Gym 2.0: Sim-to-Real Deep Reinforcement Learning for Comparing Low-Cost High-Resolution Robot Touch

   50 次引用 · 2022
3. 3
   Bi-Touch: Bimanual Tactile Manipulation With Sim-to-Real Deep Reinforcement Learning

   34 次引用 · 2023
4. 4
   Deep Reinforcement Learning for Tactile Robotics: Learning to Type on a Braille Keyboard

   33 次引用 · 2020
5. 5
   TouchSDF: A DeepSDF Approach for 3D Shape Reconstruction Using Vision-Based Tactile Sensing

   21 次引用 · 2024
6. 6
   Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing

   18 次引用 · 2023
7. 7
   Tactile Model O: Fabrication and Testing of a 3D-Printed, Three-Fingered Tactile Robot Hand

   7 次引用 · 2020
8. 8
   Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control

   4 次引用 · 2023
9. 9
   Optical Tactile Sim-to-Real Policy Transfer via Real-to-Sim Tactile Image Translation.

   4 次引用 · 2021
10. 10
    Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation

    3 次引用 · 2021

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