Mao Shan

The University of Sydney, Australian Centre for Robotic Vision, Xi'an University of Technology, Nanyang Technological University

论文数

15

总引用数

351

H-Index

8

关于

暂无简介。

研究焦点

Computer science15 · 351 次引用
Artificial intelligence15 · 351 次引用
Mobile robot12 · 300 次引用
Robot12 · 300 次引用
Control theory (sociology)9 · 274 次引用
Computer vision10 · 232 次引用
Control (management)8 · 223 次引用
Nonholonomic system3 · 213 次引用
Mathematics4 · 198 次引用
Obstacle2 · 162 次引用
Obstacle avoidance2 · 162 次引用
Engineering6 · 139 次引用

主要成就

8
H 指数
15
论文
351
总引用数
23
篇均引用
🏆 最高被引论文
Vision-Based Flexible Leader–Follower Formation Tracking of Multiple Nonholonomic Mobile Robots in Unknown Obstacle Environments
103 次引用 · 2019
📈 最高产年份: 2019 (6 论文)
🤝 主要合作者: 28
🏛 所属机构: The University of Sydney, Australian Centre for Robotic Vision, Xi'an University of Technology, Nanyang Technological University

代表论文

  1. 1
    Vision-Based Flexible Leader–Follower Formation Tracking of Multiple Nonholonomic Mobile Robots in Unknown Obstacle Environments
    103 次引用 · 2019
  2. 2
    A Practical Leader–Follower Tracking Control Scheme for Multiple Nonholonomic Mobile Robots in Unknown Obstacle Environments
    59 次引用 · 2018
  3. 3
    Autonomous Target Docking of Nonholonomic Mobile Robots Using Relative Pose Measurements
    51 次引用 · 2020
  4. 4
    Kalman filtering under unknown inputs and norm constraints
    34 次引用 · 2021
  5. 5
    Experimental Research on Deep Reinforcement Learning in Autonomous navigation of Mobile Robot
    27 次引用 · 2019
  6. 6
    Multimobile Robot Cooperative Localization Using Ultrawideband Sensor and GPU Acceleration
    26 次引用 · 2021
  7. 7
    An adaptive control strategy for indoor leader-following of wheeled mobile robot
    11 次引用 · 2019
  8. 8
    A Bayesian Filtering Approach for Error Mitigation in Ultra-Wideband Ranging
    9 次引用 · 2019
  9. 9
    Probabilistic Egocentric Motion Correction of Lidar Point Cloud and Projection to Camera Images for Moving Platforms
    8 次引用 · 2020
  10. 10
    A Comparative Analysis on Rigid and Flexible Formations of Multiple Differential-Drive Mobile Robots: A Motion Capability Perspective
    6 次引用 · 2019

主要合作者

MGMingyang Guan5 篇合著论文CWChangyun Wen5 篇合著论文YZYing Zou5 篇合著论文YWYuanzhe Wang4 篇合著论文DWDanwei Wang4 篇合著论文JXJing Xin4 篇合著论文KGKaiyuan Gao2 篇合著论文BYBo Yan2 篇合著论文DLDing Liu2 篇合著论文KLKwang-Yong Lim2 篇合著论文YYYufeng Yue2 篇合著论文CNCheng-Leong Ng2 篇合著论文PLPeng Li1 篇合著论文TCTianshi Chen1 篇合著论文BYBo Yan1 篇合著论文WXWei Xing Zheng1 篇合著论文SSSalah Sukkarieh1 篇合著论文GXGuo Xie1 篇合著论文SYShuai Yang1 篇合著论文SWStewart Worrall1 篇合著论文
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