Changhyun Choi

Georgia Institute of Technology, Massachusetts Institute of Technology, University of Minnesota, Sungkyunkwan University, Artificial Intelligence in Medicine (Canada), Twin Cities Orthopedics

Papers

30

Total Citations

998

H-Index

14

About

No biography available yet.

Research Focus

Artificial intelligence30 · 998 citations
Computer science30 · 998 citations
Computer vision23 · 916 citations
Robot23 · 874 citations
GRASP12 · 443 citations
Mathematics7 · 325 citations
Engineering10 · 294 citations
Classifier (UML)3 · 289 citations
Task (project management)8 · 249 citations
Algorithm5 · 237 citations
Computation3 · 230 citations
Robustness (evolution)3 · 214 citations

Key Achievements

14
H-Index
30
Papers
998
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Voting-based pose estimation for robotic assembly using a 3D sensor
192 citations · 2012
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: Georgia Institute of Technology, Massachusetts Institute of Technology, University of Minnesota, Sungkyunkwan University, Artificial Intelligence in Medicine (Canada), Twin Cities Orthopedics

Top Papers

  1. 1
    Voting-based pose estimation for robotic assembly using a 3D sensor
    192 citations · 2012
  2. 2
    Learning Object Grasping for Soft Robot Hands
    172 citations · 2018
  3. 3
    A Deep Learning Approach to Grasping the Invisible
    115 citations · 2020
  4. 4
    Stereo-vision-based crop height estimation for agricultural robots
    103 citations · 2020
  5. 5
    Real-time 3D model-based tracking using edge and keypoint features for robotic manipulation
    95 citations · 2010
  6. 6
    Multi-scale assembly with robot teams
    44 citations · 2015
  7. 7
    Helping Robots Learn: A Human-Robot Master-Apprentice Model Using Demonstrations via Virtual Reality Teleoperation
    43 citations · 2020
  8. 8
    Collision-Aware Target-Driven Object Grasping in Constrained Environments
    36 citations · 2021
  9. 9
    Attribute-Based Robotic Grasping With Data-Efficient Adaptation
    23 citations · 2024
  10. 10
    Learning Visual Affordances with Target-Orientated Deep Q-Network to Grasp Objects by Harnessing Environmental Fixtures
    22 citations · 2021

Key Collaborators

XLXibai Lou9 shared papersDRDaniela Rus7 shared papersHLHengyue Liang5 shared papersHIHenrik I. Christensen4 shared papersHYHoujian Yu4 shared papersYYYang Yang3 shared papersMRMehmet R. Doğar3 shared papersYYYang Yang2 shared papersASAndrew Spielberg2 shared papersARAlireza Rezazadeh2 shared papersJDJoseph DelPreto2 shared papersRARoss A. Knepper2 shared papersYYYang Yang2 shared papersDLDae-Hyun Lee2 shared papersVIVolkan Isler1 shared papersJDJoseph Del Preto1 shared papersEBEllad B. Tadmor1 shared papersRHRok-Yeun Hwang1 shared papersJLJeffrey Lipton1 shared papersRWRoss Worobel1 shared papers
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