Wenhai Liu

Shanghai Jiao Tong University, Capital University

Papers

21

Total Citations

674

H-Index

9

About

No biography available yet.

Research Focus

Computer science21 · 674 citations
Artificial intelligence20 · 665 citations
Computer vision14 · 352 citations
Robot9 · 337 citations
Perception4 · 286 citations
GRASP6 · 275 citations
Machine learning3 · 259 citations
Artificial neural network3 · 254 citations
Control theory (sociology)4 · 228 citations
Control (management)4 · 228 citations
Mathematics3 · 221 citations
Trajectory3 · 221 citations

Key Achievements

9
H-Index
21
Papers
674
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
210 citations · 2023
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 56
🏛 Institutions: Shanghai Jiao Tong University, Capital University

Top Papers

  1. 1
    AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
    210 citations · 2023
  2. 2
    Smooth and time-optimal S-curve trajectory planning for automated robots and machines
    205 citations · 2019
  3. 3
    Progress and Prospects of Multimodal Fusion Methods in Physical Human–Robot Interaction: A Review
    68 citations · 2020
  4. 4
    Suction Grasp Region Prediction Using Self-supervised Learning for Object Picking in Dense Clutter
    46 citations · 2019
  5. 5
    SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning
    21 citations · 2022
  6. 6
    ForceMimic: Force-Centric Imitation Learning with Force-Motion Capture System for Contact-Rich Manipulation
    17 citations · 2025
  7. 7
    Robotic picking in dense clutter via domain invariant learning from synthetic dense cluttered rendering
    13 citations · 2021
  8. 8
    GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects
    12 citations · 2024
  9. 9
    A Novel Camera Fusion Method Based on Switching Scheme and Occlusion-Aware Object Detection for Real-Time Robotic Grasping
    12 citations · 2020
  10. 10
    GraspFusionNet: a two-stage multi-parameter grasp detection network based on RGB–XYZ fusion in dense clutter
    9 citations · 2020

Key Collaborators

JHJie Hu11 shared papersWWWeiming Wang9 shared papersJQJin Qi9 shared papersQSQuanquan Shao8 shared papersYFYi Fang8 shared papersCLCewu Lu5 shared papersJMJin Ma5 shared papersZPZhenyu Pan4 shared papersTXTeng Xue3 shared papersLSLin Shao3 shared papersCLCewu Lu2 shared papersWXWenqiang Xu2 shared papersJWJunbo Wang2 shared papersJLJirong Liu2 shared papersMGMinghao Gou2 shared papersHYHengxu Yan2 shared papersMHMingshuo Han2 shared papersYPYinghong Peng2 shared papersQYQiaojun Yu2 shared papersGZGuo‐Niu Zhu2 shared papers
Not generated yet