Thomas Funkhouser

Princeton University, Google (United States)

Papers

21

Total Citations

2,033

H-Index

13

About

No biography available yet.

Research Focus

Computer science21 · 2,033 citations
Artificial intelligence21 · 2,033 citations
Computer vision15 · 1,569 citations
Robot13 · 1,554 citations
Object (grammar)11 · 1,393 citations
Human–computer interaction10 · 1,180 citations
Robotics5 · 1,169 citations
Key (lock)8 · 1,167 citations
Task (project management)5 · 791 citations
Affordance3 · 706 citations
Clutter3 · 706 citations
Matching (statistics)3 · 706 citations

Key Achievements

13
H-Index
21
Papers
2,033
Total Citations
97
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
461 citations · 2018
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 56
🏛 Institutions: Princeton University, Google (United States)

Top Papers

  1. 1
    Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
    461 citations · 2018
  2. 2
    TossingBot: Learning to Throw Arbitrary Objects With Residual Physics
    284 citations · 2020
  3. 3
    Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
    277 citations · 2017
  4. 4
    Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching
    198 citations · 2019
  5. 5
    TidyBot: personalized robot assistance with large language models
    189 citations · 2023
  6. 6
    Grasping in the Wild: Learning 6DoF Closed-Loop Grasping From Low-Cost Demonstrations
    179 citations · 2020
  7. 7
    An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds
    95 citations · 2020
  8. 8
    Spatial Action Maps for Mobile Manipulation
    75 citations · 2020
  9. 9
    TidyBot: Personalized Robot Assistance with Large Language Models
    75 citations · 2023
  10. 10
    Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning
    53 citations · 2018

Key Collaborators

SSShuran Song16 shared papersAZAndy Zeng14 shared papersJWJimmy Wu6 shared papersARAlberto Rodríguez6 shared papersSRSzymon Rusinkiewicz6 shared papersJLJohnny Lee4 shared papersNCNikhil Chavan-Dafle3 shared papersDGDruck Green3 shared papersEDElliott Donlon3 shared papersNFNima Fazeli3 shared papersXSXingyuan Sun3 shared papersEREudald Romo3 shared papersPNPrem Nair3 shared papersRARika Antonova3 shared papersFRFrancois R. Hogan3 shared papersMLMarion Lepert3 shared papersMBMaria Bauzá3 shared papersDMDaolin Ma3 shared papersRHRachel Holladay3 shared papersKYKuan‐Ting Yu3 shared papers
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