Animesh Garg

University of Toronto, Nvidia (United States), Ohio University, University of California, Berkeley, Stanford University, Georgia Institute of Technology, Nvidia (United Kingdom), Vector Institute, Berkeley College, Berkeley Systems (United States), Stanford Health Care

Papers

89

Total Citations

3,722

H-Index

30

About

No biography available yet.

Research Focus

Computer science88 · 3,712 citations
Artificial intelligence86 · 3,592 citations
Robot60 · 2,609 citations
Engineering33 · 1,605 citations
Task (project management)34 · 1,583 citations
Human–computer interaction33 · 1,528 citations
Reinforcement learning30 · 982 citations
Systems engineering9 · 971 citations
Computer vision20 · 925 citations
Programming language16 · 785 citations
Natural language6 · 764 citations
Computer security5 · 749 citations

Key Achievements

30
H-Index
89
Papers
3,722
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
508 citations · 2023
📈 Most Prolific Year: 2021 (15 Papers)
🤝 Key Collaborators: 364
🏛 Institutions: University of Toronto, Nvidia (United States), Ohio University, University of California, Berkeley, Stanford University, Georgia Institute of Technology

Top Papers

  1. 1
    ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
    508 citations · 2023
  2. 2
    Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
    226 citations · 2023
  3. 3
    Learning task-oriented grasping for tool manipulation from simulated self-supervision
    185 citations · 2019
  4. 4
    Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms
    182 citations · 2015
  5. 5
    Automating multi-throw multilateral surgical suturing with a mechanical needle guide and sequential convex optimization
    168 citations · 2016
  6. 6
    Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
    153 citations · 2018
  7. 7
    Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations
    128 citations · 2017
  8. 8
    Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration<sup>0</sup>
    119 citations · 2024
  9. 9
    Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter
    108 citations · 2019
  10. 10
    Large language models for chemistry robotics
    98 citations · 2023

Key Collaborators

SSSilvio Savarese20 shared papersLFLi Fei-Fei16 shared papersYZYuke Zhu16 shared papersFSFlorian Shkurti13 shared papersKGKen Goldberg12 shared papersAAAlán Aspuru‐Guzik12 shared papersAMAjay Mandlekar11 shared papersDFDieter Fox11 shared papersKDKourosh Darvish10 shared papersBNB. N. Babich8 shared papersNYNaruki Yoshikawa8 shared papersHXHaoping Xu7 shared papersYZYuchi Zhao7 shared papersXDXingye Da6 shared papersPAPieter Abbeel6 shared papersAKAndrey Kurenkov6 shared papersSKSanjay Krishnan6 shared papersZXZhaoming Xie6 shared papersJBJeannette Bohg6 shared papersDXDanfei Xu6 shared papers
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