Michael Laskey

关于

暂无简介。

研究焦点

主要成就

代表论文

1. 1
   Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

   1,162 次引用 · 2017
2. 2
   Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards

   374 次引用 · 2016
3. 3
   Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics

   277 次引用 · 2017
4. 4
   Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

   103 次引用 · 2020
5. 5
   Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making

   81 次引用 · 2022
6. 6
   Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations

   78 次引用 · 2016
7. 7
   DART: Noise Injection for Robust Imitation Learning

   78 次引用 · 2017
8. 8
   Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression

   76 次引用 · 2014
9. 9
   Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation

   75 次引用 · 2015
10. 10
    Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations

    59 次引用 · 2017

主要合作者