Shouyan Chen

Guangzhou University, South China University of Technology, Guangzhou Academy of Special Equipment Inspection and Testing

论文数

17

总引用数

203

H-Index

7

关于

暂无简介。

研究焦点

Computer science17 · 203 次引用
Artificial intelligence16 · 198 次引用
Control theory (sociology)12 · 150 次引用
Control (management)12 · 147 次引用
Engineering12 · 126 次引用
Robot10 · 118 次引用
Controller (irrigation)5 · 90 次引用
Physics6 · 82 次引用
Control engineering5 · 77 次引用
Mathematics5 · 74 次引用
Mechanical engineering6 · 71 次引用
Constant (computer programming)3 · 66 次引用

主要成就

7
H 指数
17
论文
203
总引用数
12
篇均引用
🏆 最高被引论文
An origami-wheeled robot with variable width and enhanced sand walking versatility
38 次引用 · 2024
📈 最高产年份: 2024 (5 论文)
🤝 主要合作者: 45
🏛 所属机构: Guangzhou University, South China University of Technology, Guangzhou Academy of Special Equipment Inspection and Testing

代表论文

  1. 1
    An origami-wheeled robot with variable width and enhanced sand walking versatility
    38 次引用 · 2024
  2. 2
    Constant Force PID Control for Robotic Manipulator Based on Fuzzy Neural Network Algorithm
    32 次引用 · 2020
  3. 3
    Robotic Curved Surface Tracking with a Neural Network for Angle Identification and Constant Force Control based on Reinforcement Learning
    29 次引用 · 2020
  4. 4
    Robot Grinding System Trajectory Compensation Based on Co-Kriging Method and Constant-Force Control Based on Adaptive Iterative Algorithm
    24 次引用 · 2020
  5. 5
    Force control approaches research for robotic machining based on particle swarm optimization and adaptive iteration algorithms
    17 次引用 · 2017
  6. 6
    Fuzzy-Sliding Mode Force Control Research on Robotic Machining
    14 次引用 · 2017
  7. 7
    Balance Control Method for Bipedal Wheel-Legged Robots Based on Friction Feedforward Linear Quadratic Regulator
    10 次引用 · 2025
  8. 8
    Interpolation optimization for robotic grinding with velocity constraints
    7 次引用 · 2017
  9. 9
    Research on Robot Massage Force Control Based on Residual Reinforcement Learning
    5 次引用 · 2023
  10. 10
    A study on robot force control based on the GMM/GMR algorithm fusing different compensation strategies
    5 次引用 · 2024

主要合作者

TZTie Zhang10 篇合著论文YZYanbiao Zou6 篇合著论文XMXiao Meng2 篇合著论文MXMeng Xiao2 篇合著论文ZSZhoucheng Su2 篇合著论文ZPZufeng Pang2 篇合著论文GWGuilin Wen2 篇合著论文DJDezheng Jiang2 篇合著论文ZLZhiyong Li2 篇合著论文YMYi Min Xie2 篇合著论文ZLZenan Li2 篇合著论文KLKaiyue Liu2 篇合著论文ZLZhuangjian Liu2 篇合著论文YTYang Tian2 篇合著论文ZWZhen-Pei Wang2 篇合著论文MXMeng Xiao2 篇合著论文JLJie Liu2 篇合著论文JHJunfeng He2 篇合著论文JLJinkun Li1 篇合著论文JZJingfu Zheng1 篇合著论文
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