Jun Wu

Tsinghua University, State Key Laboratory of Tribology

Papers

24

Total Citations

972

H-Index

12

About

No biography available yet.

Research Focus

Artificial intelligence24 · 972 citations
Computer science24 · 972 citations
Robot23 · 965 citations
Engineering16 · 848 citations
Control engineering9 · 685 citations
Algorithm7 · 505 citations
Control theory (sociology)17 · 505 citations
Identification (biology)3 · 433 citations
Parameter identification problem1 · 406 citations
Data mining1 · 406 citations
Estimation theory1 · 406 citations
Model parameter1 · 406 citations

Key Achievements

12
H-Index
24
Papers
972
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
An overview of dynamic parameter identification of robots
406 citations · 2010
📈 Most Prolific Year: 2023 (5 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: Tsinghua University, State Key Laboratory of Tribology

Top Papers

  1. 1
    An overview of dynamic parameter identification of robots
    406 citations · 2010
  2. 2
    Workspace and dynamic performance evaluation of the parallel manipulators in a spray-painting equipment
    114 citations · 2016
  3. 3
    Forward and inverse kinematics of a 5-DOF hybrid robot for composite material machining
    75 citations · 2020
  4. 4
    An iterative learning method for realizing accurate dynamic feedforward control of an industrial hybrid robot
    65 citations · 2021
  5. 5
    A Method to Realize Accurate Dynamic Feedforward Control of a Spray-Painting Robot for Airplane Wings
    49 citations · 2018
  6. 6
    A novel dynamic evaluation method and its application to a 4-DOF parallel manipulator
    48 citations · 2021
  7. 7
    A general approach for geometric error modeling of over-constrained hybrid robot
    31 citations · 2022
  8. 8
    Kinematic calibration of over-constrained robot with geometric error and internal deformation
    25 citations · 2023
  9. 9
    Multi-objective optimal design of a novel 6-DOF spray-painting robot
    25 citations · 2021
  10. 10
    An engineering-oriented motion accuracy fluctuation suppression method of a hybrid spray-painting robot considering dynamics
    24 citations · 2018

Key Collaborators

HYHao Ye5 shared papersBZBinbin Zhang4 shared papersDWDong Wang4 shared papersGYGuang Yu3 shared papersJWJinsong Wang3 shared papersTHTian Huang3 shared papersYWYutian Wang3 shared papersLWLiping Wang2 shared papersBZBin Zhu2 shared papersJQJiahao Qiu2 shared papersYTYanling Tian2 shared papersZLZilin Liu2 shared papersXWXiaojian Wang2 shared papersXWXiaojian Wang2 shared papersLWLiping Wang1 shared papersYGYing Gao1 shared papersMLMengyu Li1 shared papersYZYulin Zhou1 shared papersZYZhenyang Yu1 shared papersYZYulin Zhou1 shared papers
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