Chris Paxton

Johns Hopkins University, Nvidia (United States), Nvidia (United Kingdom), Wuhu Hit Robot Technology Research Institute

Papers

58

Total Citations

1,490

H-Index

20

About

No biography available yet.

Research Focus

Computer science58 · 1,490 citations
Artificial intelligence56 · 1,451 citations
Robot50 · 1,304 citations
Human–computer interaction38 · 1,117 citations
Task (project management)21 · 648 citations
Engineering16 · 533 citations
Object (grammar)19 · 496 citations
Robotics9 · 454 citations
Programming language16 · 437 citations
Natural language processing10 · 377 citations
Computer vision13 · 294 citations
Systems engineering4 · 292 citations

Key Achievements

20
H-Index
58
Papers
1,490
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
CoSTAR: Instructing collaborative robots with behavior trees and vision
170 citations · 2017
📈 Most Prolific Year: 2022 (10 Papers)
🤝 Key Collaborators: 157
🏛 Institutions: Johns Hopkins University, Nvidia (United States), Nvidia (United Kingdom), Wuhu Hit Robot Technology Research Institute

Top Papers

  1. 1
    CoSTAR: Instructing collaborative robots with behavior trees and vision
    170 citations · 2017
  2. 2
    Task and Motion Planning with Large Language Models for Object Rearrangement
    124 citations · 2023
  3. 3
    A framework for end-user instruction of a robot assistant for manufacturing
    99 citations · 2015
  4. 4
    Reactive Human-to-Robot Handovers of Arbitrary Objects
    83 citations · 2021
  5. 5
    CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory
    68 citations · 2023
  6. 6
    Correcting Robot Plans with Natural Language Feedback
    67 citations · 2022
  7. 7
    Real-world robot applications of foundation models: a review
    60 citations · 2024
  8. 8
    StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects
    55 citations · 2022
  9. 9
    Human Grasp Classification for Reactive Human-to-Robot Handovers
    53 citations · 2020
  10. 10
    An incremental approach to learning generalizable robot tasks from human demonstration
    49 citations · 2015

Key Collaborators

DFDieter Fox25 shared papersGDGregory D. Hager12 shared papersYCYu-Wei Chao6 shared papersNMNur Muhammad Mahi Shafiullah6 shared papersLPLerrel Pinto6 shared papersTHTucker Hermans6 shared papersMÇMaya Çakmak6 shared papersWYWei Yang6 shared papersAMArsalan Mousavian5 shared papersAFAdam Fishman5 shared papersBSBalakumar Sundaralingam5 shared papersNRNathan Ratliff4 shared papersSCSoumith Chintala4 shared papersAHAndrew Hundt4 shared papersYBYonatan Bisk4 shared papersFJFelix Jonathan4 shared papersSYSriram Yenamandra3 shared papersPLPeiqi Liu3 shared papersVBValts Blukis3 shared papersWLWeiyu Liu3 shared papers
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