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Zhangqiang
Associate professor
Email:
qzhang@just.edu.cn
Office:
#208
Address:
Colleg of Automation, Jiangsu.
PostCode:
212100
Fax:

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  • Introduction

    Qiang Zhang received the Ph.D. degree of Mechanics and Electronics Engineering from University of Chinese Academy of Sciences, Beijing, China, in 2018. He is currently a lecturer of School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China. His research interests include robotics and computer vision.


    The projects he is currently leading include:


    [1] National Natural Science Foundation of China (grant number 61903162).

    [2] Jiangsu Province’s “Double Innovation Plan”: Research and development of flexible cooperative robot technology for intelligent manufacturing.


    He is a supervisor for Master's students majoring in Control Theory and Engineering, Electronic information engineering,  Systems Science.


  • Research Focus

    Qiang Zhang specializes in building machine learning models, designing learning algorithms, and developing downstream task applications in the fields of robotics and computer vision. This includes various areas such as robot visual environment perception, human-robot interaction, and task understanding.

    Visual perception
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    The Laboratory of Robot Ubiquitous Perception and Cooperative Control

    The Laboratory of Robot Ubiquitous Perception and Cooperative Control focuses on three types of robot platforms: industrial robots, collaborative robots, and mobile robots. These robots are connected as complex systems through high-speed computing servers and the industrial Internet, forming the organic combination of eyes, brains, and hands of multiple robots in the human-machine fusion intelligent manufacturing environment.

    The laboratory conducts theoretical research on the key common problems faced by robots and autonomous systems in complex and uncertain environments. This includes intelligent and optimal control, cooperative control, flexible human-machine interaction, and other key issues. The research also supports the engineering applications of industrial robots and intelligent manufacturing, ubiquitous information perception and human-machine cohesion of collaborative robots, environment perception and modeling of mobile robots, as well as cooperative scheduling and optimal control of multiple robots.


  • Education Background

    [1] B.S. degree of Automation from Qingdao University of Science and Technology, Qingdao, China, in 2010.

    [2] M.S degree of Control Theory and Control Engineering from Qingdao University of Science and Technology, Qingdao, China, in 2013.

    [3] Ph.D. degree of Mechanics and Electronics Engineering from University of Chinese Academy of Sciences, Beijing, China, in 2018

  • Teaching

    [1] Machine learning

    [2] Computer vision

    [3] Fundamentals of robotics

    [4] Advanced Digitial Image Processing