Michael Laskey

University of California, Berkeley, Toyota Research Institute, Toyota Motor Corporation (Switzerland), Berkeley Systems (United States)

Papers

36

Total Citations

2,777

H-Index

19

About

No biography available yet.

Research Focus

Computer science36 · 2,777 citations
Artificial intelligence35 · 2,757 citations
Machine learning13 · 2,163 citations
GRASP7 · 1,952 citations
Computer vision17 · 1,925 citations
Mathematics14 · 1,815 citations
Convolutional neural network3 · 1,813 citations
Point (geometry)4 · 1,545 citations
Deep learning6 · 1,534 citations
Planner3 · 1,444 citations
Point cloud2 · 1,439 citations
Robot30 · 864 citations

Key Achievements

19
H-Index
36
Papers
2,777
Total Citations
77
Avg Citations/Paper
🏆 Most Cited Paper
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
1,162 citations · 2017
📈 Most Prolific Year: 2017 (8 Papers)
🤝 Key Collaborators: 88
🏛 Institutions: University of California, Berkeley, Toyota Research Institute, Toyota Motor Corporation (Switzerland), Berkeley Systems (United States)

Top Papers

  1. 1
    Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
    1,162 citations · 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 citations · 2016
  3. 3
    Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
    277 citations · 2017
  4. 4
    Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
    103 citations · 2020
  5. 5
    Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making
    81 citations · 2022
  6. 6
    Robot grasping in clutter: Using a hierarchy of supervisors for learning from demonstrations
    78 citations · 2016
  7. 7
    DART: Noise Injection for Robust Imitation Learning
    78 citations · 2017
  8. 8
    Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression
    76 citations · 2014
  9. 9
    Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation
    75 citations · 2015
  10. 10
    Comparing human-centric and robot-centric sampling for robot deep learning from demonstrations
    59 citations · 2017

Key Collaborators

KGKen Goldberg29 shared papersJMJeffrey Mahler9 shared papersBTBrijen Thananjeyan8 shared papersJIJeffrey Ichnowski8 shared papersJEJoseph E. Gonzalez7 shared papersJLJonathan Lee7 shared papersPSPriya Sundaresan6 shared papersABAshwin Balakrishna6 shared papersJGJennifer Grannen6 shared papersDSDaniel Seita6 shared papersADAnca D. Dragan5 shared papersAKAjay Kumar Tanwani5 shared papersSKSanjay Krishnan5 shared papersKSKevin Stone5 shared papersRFRoy Fox5 shared papersENEllen Novoseller5 shared papersCCCaleb Chuck4 shared papersVVVainavi Viswanath4 shared papersFTFlorian T. Pokorny4 shared papersTKThomas Kollar4 shared papers
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