Matthew Matl

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研究焦点

主要成就

代表论文

1. 1
   Learning ambidextrous robot grasping policies

   578 次引用 · 2019
2. 2
   Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data

   189 次引用 · 2019
3. 3
   Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter

   108 次引用 · 2019
4. 4
   Dex-Net 3.0: Computing Robust Robot Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning

   53 次引用 · 2017
5. 5
   A cloud robot system using the dexterity network and berkeley robotics and automation as a service (Brass)

   39 次引用 · 2017
6. 6
   Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning

   18 次引用 · 2017
7. 7
   REACH: Reducing False Negatives in Robot Grasp Planning with a Robust Efficient Area Contact Hypothesis Model

   9 次引用 · 2022
8. 8
   Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data

   7 次引用 · 2018

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