Ronghao Zheng

City University of Hong Kong, State Key Laboratory of Industrial Control Technology, Zhejiang University, Information Technology Laboratory, Zhejiang University of Technology

论文数

17

总引用数

458

H-Index

8

关于

暂无简介。

研究焦点

Computer science17 · 458 次引用
Artificial intelligence17 · 458 次引用
Robot13 · 437 次引用
Mobile robot9 · 406 次引用
Engineering9 · 398 次引用
Control theory (sociology)7 · 371 次引用
Control (management)7 · 371 次引用
Nonholonomic system6 · 369 次引用
Control engineering3 · 307 次引用
Bearing (navigation)2 · 303 次引用
Marine engineering1 · 292 次引用
Mathematics10 · 108 次引用

主要成就

8
H 指数
17
论文
458
总引用数
27
篇均引用
🏆 最高被引论文
Enclosing a target by nonholonomic mobile robots with bearing-only measurements
292 次引用 · 2015
📈 最高产年份: 2022 (3 论文)
🤝 主要合作者: 16
🏛 所属机构: City University of Hong Kong, State Key Laboratory of Industrial Control Technology, Zhejiang University, Information Technology Laboratory, Zhejiang University of Technology

代表论文

  1. 1
    Enclosing a target by nonholonomic mobile robots with bearing-only measurements
    292 次引用 · 2015
  2. 2
    Rendezvous of unicycles: A bearings-only and perimeter shortening approach
    45 次引用 · 2013
  3. 3
    Uncertainty-Aware Autonomous Robot Exploration Using Confidence-Rich Localization and Mapping
    16 次引用 · 2024
  4. 4
    CRMI: Confidence-Rich Mutual Information for Information-Theoretic Mapping
    15 次引用 · 2021
  5. 5
    Hierarchical multi-robot strategies synthesis and optimization under individual and collaborative temporal logic specifications
    13 次引用 · 2022
  6. 6
    Flexible bearing-only rendezvous control of mobile robots
    11 次引用 · 2017
  7. 7
    Multirobot rendezvous with bearing-only or range-only measurements
    11 次引用 · 2014
  8. 8
    CARE: Confidence-Rich Autonomous Robot Exploration Using Bayesian Kernel Inference and Optimization
    9 次引用 · 2023
  9. 9
    Multi-Robot Task Planning under Individual and Collaborative Temporal Logic Specifications
    8 次引用 · 2021
  10. 10
    Resource-Efficient Cooperative Online Scalar Field Mapping via Distributed Sparse Gaussian Process Regression
    8 次引用 · 2024

主要合作者

SZSenlin Zhang10 篇合著论文MLMeiqin Liu10 篇合著论文DSDong Sun5 篇合著论文YXYang Xu4 篇合著论文RBRuofei Bai2 篇合著论文JHJiaxi Huo2 篇合著论文TDTianyi Ding2 篇合著论文THTingrui Han1 篇合著论文SZShiyu Zhao1 篇合著论文PCPeng Cheng1 篇合著论文ZLZhiyun Lin1 篇合著论文TDTianyi Ding1 篇合著论文XZXi Zhang1 篇合著论文SHShoudong Huang1 篇合著论文YLYunhui Liu1 篇合著论文JYJunzhi Yu1 篇合著论文
尚未生成