Wu Yan

Guangdong Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, South China University of Technology, Agency for Science, Technology and Research

Papers

13

Total Citations

207

H-Index

8

About

No biography available yet.

Research Focus

Computer science13 · 207 citations
Robot13 · 207 citations
Artificial intelligence13 · 207 citations
Mathematics5 · 110 citations
Artificial neural network3 · 96 citations
Machine learning8 · 77 citations
Computer vision4 · 70 citations
Mobile robot4 · 70 citations
Kinematics2 · 67 citations
Control (management)2 · 64 citations
Control theory (sociology)2 · 64 citations
Task (project management)5 · 64 citations

Key Achievements

8
H-Index
13
Papers
207
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties
62 citations · 2018
📈 Most Prolific Year: 2021 (6 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Guangdong Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, South China University of Technology, Agency for Science, Technology and Research

Top Papers

  1. 1
    Dynamic neural networks based kinematic control for redundant manipulators with model uncertainties
    62 citations · 2018
  2. 2
    A Framework of Robot Skill Learning From Complex and Long-Horizon Tasks
    30 citations · 2021
  3. 3
    Fast Object Pose Estimation Using Adaptive Threshold for Bin-Picking
    30 citations · 2020
  4. 4
    Controlling a robot using leap motion
    28 citations · 2017
  5. 5
    Incremental Learning Introspective Movement Primitives From Multimodal Unstructured Demonstrations
    12 citations · 2019
  6. 6
    Learning robot anomaly recovery skills from multiple time-driven demonstrations
    10 citations · 2021
  7. 7
    A Framework of Improving Human Demonstration Efficiency for Goal-Directed Robot Skill Learning
    10 citations · 2021
  8. 8
    6D Pose Estimation with Correlation Fusion
    8 citations · 2019
  9. 9
    Comparison of deep learning-based methods in multimodal anomaly detection: A case study in human–robot collaboration
    5 citations · 2021
  10. 10
    End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
    4 citations · 2022

Key Collaborators

HWHongmin Wu8 shared papersXZXuefeng Zhou8 shared papersZXZhihao Xu8 shared papersSLShuai Li4 shared papersTCTaobo Cheng4 shared papersLYLin Yang2 shared papersWJWei Jing2 shared papersEYEn Yen Puang2 shared papersQSQianxing Su1 shared papersCACihan Acar1 shared papersJLJoo‐Hwee Lim1 shared papersHZHongyuan Zhu1 shared papersLMLee M1 shared papersYSYing Sun1 shared papersLLLiyuan Li1 shared papersQSQianxin Su1 shared papersLCLiang Chen1 shared papersCTCheston Tan1 shared papersSLShan Luo1 shared papersTWTianying Wang1 shared papers
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