Honglak Lee

University of Michigan–Ann Arbor, Google (United States), Laboratoire d'Informatique de Paris-Nord, Stanford University

Papers

17

Total Citations

2,390

H-Index

12

About

No biography available yet.

Research Focus

Computer science17 · 2,390 citations
Artificial intelligence17 · 2,390 citations
Robot9 · 2,064 citations
Deep learning6 · 1,858 citations
Computer vision5 · 1,798 citations
Robotics5 · 1,721 citations
Regularization (linguistics)4 · 1,704 citations
RGB color model3 · 1,671 citations
Deep neural networks3 · 1,656 citations
Robotic arm2 · 1,652 citations
Robotic hand1 · 1,646 citations
Machine learning10 · 520 citations

Key Achievements

12
H-Index
17
Papers
2,390
Total Citations
141
Avg Citations/Paper
🏆 Most Cited Paper
Deep learning for detecting robotic grasps
1,646 citations · 2015
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: University of Michigan–Ann Arbor, Google (United States), Laboratoire d'Informatique de Paris-Nord, Stanford University

Top Papers

  1. 1
    Deep learning for detecting robotic grasps
    1,646 citations · 2015
  2. 2
    Data-Efficient Hierarchical Reinforcement Learning
    265 citations · 2018
  3. 3
    Deep Learning for Detecting Robotic Grasps
    125 citations · 2013
  4. 4
    Exponential family sparse coding with applications to self-taught learning
    71 citations · 2009
  5. 5
    Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
    48 citations · 2020
  6. 6
    Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
    47 citations · 2019
  7. 7
    Quadruped robot obstacle negotiation via reinforcement learning
    42 citations · 2006
  8. 8
    Mutual physical state-aware object handover in full-contact collaborative human-robot construction work
    33 citations · 2023
  9. 9
    Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
    29 citations · 2019
  10. 10
    Context-aware Dynamics Model for Generalization in Model-Based\n Reinforcement Learning
    28 citations · 2020

Key Collaborators

JSJinwoo Shin5 shared papersKLKimin Lee5 shared papersILIan Lenz3 shared papersKLKibok Lee3 shared papersASAshutosh Saxena3 shared papersPAPeter Anderson2 shared papersYSYounggyo Seo2 shared papersCCCarol C. Menassa2 shared papersHYHongrui Yu2 shared papersYYYinfei Yang2 shared papersYGYijie Guo2 shared papersHAHarsh Agrawal2 shared papersARAustin R. Waters2 shared papersJYJing Yu Koh2 shared papersJBJason Baldridge2 shared papersVRVineet R. Kamat2 shared papersRPRichard P. Tucker2 shared papersWMWes McGee2 shared papersDBDhruv Batra2 shared papersSLSeunghyun Lee1 shared papers
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