Yang Xu

Chang'an University, State Key Laboratory of Industrial Control Technology, Zhejiang University, Beijing Institute of Technology

论文数

11

总引用数

233

H-Index

7

关于

暂无简介。

研究焦点

Computer science10 · 232 次引用
Artificial intelligence10 · 232 次引用
Robot9 · 223 次引用
Mobile robot6 · 203 次引用
Engineering3 · 176 次引用
Automation1 · 151 次引用
Construction engineering1 · 151 次引用
Automated guided vehicle1 · 151 次引用
Manufacturing engineering1 · 151 次引用
Mechanical engineering1 · 151 次引用
Robustness (evolution)1 · 151 次引用
Systems engineering1 · 151 次引用

主要成就

7
H 指数
11
论文
233
总引用数
21
篇均引用
🏆 最高被引论文
Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering
151 次引用 · 2022
📈 最高产年份: 2022 (4 论文)
🤝 主要合作者: 28
🏛 所属机构: Chang'an University, State Key Laboratory of Industrial Control Technology, Zhejiang University, Beijing Institute of Technology

代表论文

  1. 1
    Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering
    151 次引用 · 2022
  2. 2
    Uncertainty-Aware Autonomous Robot Exploration Using Confidence-Rich Localization and Mapping
    16 次引用 · 2024
  3. 3
    CRMI: Confidence-Rich Mutual Information for Information-Theoretic Mapping
    15 次引用 · 2021
  4. 4
    Hierarchical multi-robot strategies synthesis and optimization under individual and collaborative temporal logic specifications
    13 次引用 · 2022
  5. 5
    Confidence-rich Localization and Mapping based on Particle Filter for Robotic Exploration
    10 次引用 · 2022
  6. 6
    CARE: Confidence-Rich Autonomous Robot Exploration Using Bayesian Kernel Inference and Optimization
    9 次引用 · 2023
  7. 7
    FNUG: Imperfect Mazes Traversal Based on Detecting and Following the Nearest-to-Final-Goal and Unvisited Gaps
    9 次引用 · 2022
  8. 8
    Multi-Robot Autonomous 3D Reconstruction Using Gaussian Splatting With Semantic Guidance
    4 次引用 · 2025
  9. 9
    DEFORM: Adaptive Formation Reconfiguration of Multi-Robot Systems in Confined Environments
    3 次引用 · 2025
  10. 10
    AF-RLIO: Adaptive Fusion of Radar-LiDAR-Inertial Information for Robust Odometry in Challenging Environments
    2 次引用 · 2025

主要合作者

SZSenlin Zhang5 篇合著论文MLMeiqin Liu5 篇合著论文RZRonghao Zheng4 篇合著论文LLLiang Li3 篇合著论文JLJin Li2 篇合著论文JCJiming Chen2 篇合著论文XSXiufang Shi2 篇合著论文ZUZakir Ullah1 篇合著论文JZJianqi Zhang1 篇合著论文XCXiaopeng Chen1 篇合著论文LDLing Ding1 篇合著论文CQChenglong Qian1 篇合著论文SGSiyuan Gou1 篇合著论文SHShoudong Huang1 篇合著论文TLTianle Liu1 篇合著论文JYJunzhi Yu1 篇合著论文RBRuofei Bai1 篇合著论文WWWei Wang1 篇合著论文JXJinming Xu1 篇合著论文LLLiang Li1 篇合著论文
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