Lin Shao

Intel (United States), Stanford University, Corvallis Environmental Center, National University of Singapore, Texas A&M University, Qiqihar University

Papers

33

Total Citations

600

H-Index

12

About

No biography available yet.

Research Focus

Computer science31 · 596 citations
Artificial intelligence29 · 534 citations
Robot24 · 491 citations
Computer vision15 · 357 citations
Object (grammar)11 · 296 citations
Engineering13 · 284 citations
Set (abstract data type)7 · 240 citations
Robotics8 · 233 citations
Human–computer interaction13 · 226 citations
Mathematics9 · 220 citations
Task (project management)8 · 201 citations
GRASP4 · 184 citations

Key Achievements

12
H-Index
33
Papers
600
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands
110 citations · 2020
📈 Most Prolific Year: 2020 (8 Papers)
🤝 Key Collaborators: 114
🏛 Institutions: Intel (United States), Stanford University, Corvallis Environmental Center, National University of Singapore, Texas A&M University, Qiqihar University

Top Papers

  1. 1
    UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands
    110 citations · 2020
  2. 2
    Concept2Robot: Learning manipulation concepts from instructions and human demonstrations
    80 citations · 2021
  3. 3
    Learning 3D Part Assembly from a Single Image
    56 citations · 2020
  4. 4
    Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations
    54 citations · 2020
  5. 5
    Design and Control of Roller Grasper V2 for In-Hand Manipulation
    49 citations · 2020
  6. 6
    Generative 3D Part Assembly via Dynamic Graph Learning
    46 citations · 2020
  7. 7
    Learning to Scaffold the Development of Robotic Manipulation Skills
    22 citations · 2020
  8. 8
    DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations
    21 citations · 2023
  9. 9
    SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning
    21 citations · 2022
  10. 10
    Category-Level Multi-Part Multi-Joint 3D Shape Assembly
    13 citations · 2024

Key Collaborators

JBJeannette Bohg9 shared papersKMKaichun Mo7 shared papersCLCewu Lu6 shared papersLGLeonidas Guibas5 shared papersTMToki Migimatsu5 shared papersJLJun Lv4 shared papersYFYunhai Feng4 shared papersQYQiaojun Yu4 shared papersSZShuang Zhao3 shared papersWLWenhai Liu3 shared papersQFQingnan Fan3 shared papersJGJingxiang Guo3 shared papersCGChongkai Gao3 shared papersHWHe Wang2 shared papersCLConnor L. Yako2 shared papersYLYichen Li2 shared papersWMWojciech Matusik2 shared papersHCHaonan Chen2 shared papersYDYueqi Duan2 shared papersCTChenrui Tie2 shared papers
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