Michel Breyer

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研究焦点

主要成就

代表论文

1. 1
   Object Finding in Cluttered Scenes Using Interactive Perception

   64 次引用 · 2020
2. 2
   Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning

   55 次引用 · 2019
3. 3
   Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter

   44 次引用 · 2021
4. 4
   Closed-Loop Next-Best-View Planning for Target-Driven Grasping

   22 次引用 · 2022
5. 5
   Flexible Robotic Grasping with Sim-to-Real Transfer based Reinforcement Learning.

   20 次引用 · 2018
6. 6
   Go Fetch: Mobile Manipulation in Unstructured Environments

   12 次引用 · 2020
7. 7
   Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator

   10 次引用 · 2019
8. 8
   Efficient Multi-scale POMDPs for Robotic Object Search and Delivery

   7 次引用 · 2021
9. 9
   Object Finding in Cluttered Scenes Using Interactive Perception

   6 次引用 · 2019
10. 10
    Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning

    3 次引用 · 2022

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