Christopher Agia

Vaughn College of Aeronautics and Technology, Stanford University, Institute of Occupational Medicine, University of Toronto

Papers

15

Total Citations

677

H-Index

9

About

No biography available yet.

Research Focus

Computer science15 · 677 citations
Artificial intelligence14 · 676 citations
Human–computer interaction8 · 439 citations
Robot9 · 434 citations
Task (project management)4 · 232 citations
Plan (archaeology)3 · 220 citations
Computer vision5 · 215 citations
Affordance2 · 207 citations
Heuristics2 · 207 citations
Natural language2 · 207 citations
Generalization2 · 207 citations
Natural language understanding2 · 207 citations

Key Achievements

9
H-Index
15
Papers
677
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Text2Motion: from natural language instructions to feasible plans
197 citations · 2023
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 208
🏛 Institutions: Vaughn College of Aeronautics and Technology, Stanford University, Institute of Occupational Medicine, University of Toronto

Top Papers

  1. 1
    Text2Motion: from natural language instructions to feasible plans
    197 citations · 2023
  2. 2
    Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration<sup>0</sup>
    119 citations · 2024
  3. 3
    DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
    108 citations · 2024
  4. 4
    Semantic anomaly detection with large language models
    85 citations · 2023
  5. 5
    A Sim-to-Real Pipeline for Deep Reinforcement Learning for Autonomous Robot Navigation in Cluttered Rough Terrain
    84 citations · 2021
  6. 6
    Real-Time Anomaly Detection and Reactive Planning with Large Language Models
    28 citations · 2024
  7. 7
    STAP: Sequencing Task-Agnostic Policies
    13 citations · 2023
  8. 8
    TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
    12 citations · 2022
  9. 9
    Text2Motion: From Natural Language Instructions to Feasible Plans
    10 citations · 2023
  10. 10
    S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds
    8 citations · 2020

Key Collaborators

JBJeannette Bohg7 shared papersMPMarco Pavone6 shared papersJWJiajun Wu4 shared papersARAbdul Rehman3 shared papersCLCharlotte Le3 shared papersTMToki Migimatsu3 shared papersESEdward Schmerling3 shared papersDJDinesh Jayaraman3 shared papersHWHomer Walke3 shared papersDCDaphne Chen3 shared papersAYArefeh Yavary3 shared papersBWBlake Wulfe3 shared papersAEAmine Elhafsi3 shared papersJDJaimyn Drake3 shared papersASArchit Sharma3 shared papersAJArhan Jain3 shared papersAMAbhiram Maddukuri3 shared papersGBGlen Berseth3 shared papersAKAlexander Khazatsky3 shared papersDMDaniel Morton3 shared papers
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