Jie Hu

Shanghai Jiao Tong University

Papers

16

Total Citations

448

H-Index

9

About

No biography available yet.

Research Focus

Computer science16 · 448 citations
Artificial intelligence16 · 448 citations
Control (management)5 · 321 citations
Control theory (sociology)5 · 321 citations
Mathematics5 · 318 citations
Trajectory5 · 316 citations
Function (biology)2 · 298 citations
Acceleration2 · 298 citations
Jerk2 · 298 citations
Artificial neural network4 · 256 citations
Feature (linguistics)2 · 207 citations
Benchmark (surveying)1 · 205 citations

Key Achievements

9
H-Index
16
Papers
448
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Smooth and time-optimal S-curve trajectory planning for automated robots and machines
205 citations · 2019
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Shanghai Jiao Tong University

Top Papers

  1. 1
    Smooth and time-optimal S-curve trajectory planning for automated robots and machines
    205 citations · 2019
  2. 2
    An approach for jerk-continuous trajectory generation of robotic manipulators with kinematical constraints
    93 citations · 2020
  3. 3
    Suction Grasp Region Prediction Using Self-supervised Learning for Object Picking in Dense Clutter
    46 citations · 2019
  4. 4
    Empowering natural human–robot collaboration through multimodal language models and spatial intelligence: Pathways and perspectives
    16 citations · 2025
  5. 5
    Robotic picking in dense clutter via domain invariant learning from synthetic dense cluttered rendering
    13 citations · 2021
  6. 6
    A Novel Camera Fusion Method Based on Switching Scheme and Occlusion-Aware Object Detection for Real-Time Robotic Grasping
    12 citations · 2020
  7. 7
    Object Detection-Based One-Shot Imitation Learning with an RGB-D Camera
    10 citations · 2020
  8. 8
    GraspFusionNet: a two-stage multi-parameter grasp detection network based on RGB–XYZ fusion in dense clutter
    9 citations · 2020
  9. 9
    A CPG-based online trajectory planning method for industrial manipulators
    9 citations · 2016
  10. 10
    Deep learning for picking point detection in dense cluster
    8 citations · 2017

Key Collaborators

JQJin Qi14 shared papersYFYi Fang11 shared papersWLWenhai Liu11 shared papersWWWeiming Wang10 shared papersQSQuanquan Shao9 shared papersYPYinghong Peng4 shared papersGZGuo‐Niu Zhu3 shared papersJMJin Ma3 shared papersTXTeng Xue2 shared papersZPZhenyu Pan2 shared papersWLWeijie Liu1 shared papersDWDuidi Wu1 shared papersWZWenjun Zhao1 shared papersSDShaofeng Du1 shared papersXYXian Ye1 shared papersBCBiao Chen1 shared papersXPXiaohong Peng1 shared papersLWLihui Wang1 shared papersPZPai Zheng1 shared papersQZQianyou Zhao1 shared papers
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