通讯地址：Colleg of Automation, Jiangsu.
个人邮箱：qzhang@just.edu.cn
邮政编码：212100
办公地点：#208
传真：
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.
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 | |
| Drag teaching | |
| Auto-navigation |
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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.
[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.
[3] Jiangsu Province’s "Industry-university-research cooperation project": 40.5kV Intelligent Modular C-GIS Switchgear Technology Development (BY2021331).
[1] Qiang Zhang, Daokui Qu, Fang Xu, Kai Jia, Xueying Sun. Dual-layer Density Estimation for Multiple Object Instance Detection. Journal of Sensors, vol. 2016, p.1-12. DOI: 10.1155/2016/6937852. SCI.
[2] Qiang Zhang, Jianwei Zhu, Xueying Sun, Mingmin Liu. HTC-Grasp: A Hybrid Transformer-CNN Architecture for Robotic Grasp Detection. Electronics 2023,12, 1505. SCI.
[3] Qiang Zhang, Xueying Sun. Bilateral Cross-Modal Fusion Network for Robot Grasp Detection. Sensors 2023,23, 3340. SCI.
[4] Zihang Wang, Xueying Sun, Hao Wei, Qing Ma, Qiang Zhang. Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal Integration.Machines2023,11, 891. SCI.
[5] Fan, Z.; Jia, K.; Zhang, L.; Zou, F.; Du, Z.; Liu, M.; Cao, Y.; Zhang, Q. A Cartesian-Based Trajectory Optimization with Jerk Constraints for a Robot. Entropy2023,25, 610. SCI.
[6] Qiang Zhang, Daokui Qu, Fang Xu, Nan Jiang, Kai Jia, Fengshan Zou. An Improved Method for Object Instance Detection Based on Object Center Estimation and Convex Quadrilateral Verification. In: The 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference (IEEE-ITNEC 2016), p. 174-177. DOI: 10.1109/ITNEC.2016.7560343. EI.
[7] Fang Xu, Qiang Zhang, Fengshan Zou, Kai Jia, Yanan Zhang and Xuewei Wang. Error Distribution Based Weighted Least Square Estimation for Service Robot Hand-eye Calibration. In: The 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (IEEE-ITOEC 2017). EI.
[8] Qiang Zhang, Daokui Qu, Fang Xu, Fengshan Zou. Robot Grasp Detection in Multiple Modality Fusion. In: 2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017). EI.
[9] Songhao Fu , Qiang Zhang, Xueying Sun, Mingmin Liu, Zhiwei Fan.
Hybrid6D: A Dual-Stream Transformer-CNN Approach for 6D Object Pose Estimation from RGB-D Images, 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), Koh Samui, Thailand, 2023, pp. 1-6, doi: 10.1109/ROBIO58561.2023.10354630. EI
[10] Xueying Sun, Qiang Zhang, Yifei Wei, Mingmin Liu. Risk-Aware Deep Reinforcement Learning for Robot Crowd Navigation. Electronics 2023, 12, 4744. SCI.
[11] Qiang Zhang, Xueying Sun, Ruixuan Chang and Ren Sun, Robot Grasp Detection Based on Oriented Reppoints With Angle Refinement Strategy,2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC), Chongqing, China, 2023, pp. 26-29, doi: 10.1109/ITOEC57671.2023.10291899. EI.
[12] Jianwei Zhu, Qiang Zhang, Zheng Zhao, Jinling Wang and Xueying Sun, Convective Development Nowcasting Using Dual Polarization Radar Based on Cross Modal Fusion*,2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Chongqing, China, 2023, pp. 1470-1474, doi: 10.1109/ITAIC58329.2023.10409003.
[13]Zihang Wang, Qiang Zhang*, Xueying Sun, Jianwei Zhu, Hao Wei. DMG6D: A Depth-based Multi-Flow Global Feature Fusion Network for 6D Pose Estimation [c].2024 IEEE 20th International Conference on Automation Science and Engineering (IEEE CASE 2024). Bari, Italy, 2024.
[14] Zhu W, Sun X, Zhang Q. DCG-Net: Enhanced Hyperspectral Image Classification with Dual-Branch Convolutional Neural Network and Graph Convolutional Neural Network Integration[J]. Electronics, 2024, 13(16): 3271. SCI.
[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.
[3] Jiangsu Province’s "Industry-university-research cooperation project": 40.5kV Intelligent Modular C-GIS Switchgear Technology Development (BY2021331).
[1] Qiang Zhang, Daokui Qu, Fang Xu, Kai Jia, Xueying Sun. Dual-layer Density Estimation for Multiple Object Instance Detection. Journal of Sensors, vol. 2016, p.1-12. DOI: 10.1155/2016/6937852. SCI.
[2] Qiang Zhang, Jianwei Zhu, Xueying Sun, Mingmin Liu. HTC-Grasp: A Hybrid Transformer-CNN Architecture for Robotic Grasp Detection. Electronics 2023,12, 1505. SCI.
[3] Qiang Zhang, Xueying Sun. Bilateral Cross-Modal Fusion Network for Robot Grasp Detection. Sensors 2023,23, 3340. SCI.
[4] Zihang Wang, Xueying Sun, Hao Wei, Qing Ma, Qiang Zhang. Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal Integration.Machines2023,11, 891. SCI.
[5] Fan, Z.; Jia, K.; Zhang, L.; Zou, F.; Du, Z.; Liu, M.; Cao, Y.; Zhang, Q. A Cartesian-Based Trajectory Optimization with Jerk Constraints for a Robot. Entropy2023,25, 610. SCI.
[6] Qiang Zhang, Daokui Qu, Fang Xu, Nan Jiang, Kai Jia, Fengshan Zou. An Improved Method for Object Instance Detection Based on Object Center Estimation and Convex Quadrilateral Verification. In: The 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference (IEEE-ITNEC 2016), p. 174-177. DOI: 10.1109/ITNEC.2016.7560343. EI.
[7] Fang Xu, Qiang Zhang, Fengshan Zou, Kai Jia, Yanan Zhang and Xuewei Wang. Error Distribution Based Weighted Least Square Estimation for Service Robot Hand-eye Calibration. In: The 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (IEEE-ITOEC 2017). EI.
[8] Qiang Zhang, Daokui Qu, Fang Xu, Fengshan Zou. Robot Grasp Detection in Multiple Modality Fusion. In: 2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017). EI.
[9] Songhao Fu , Qiang Zhang, Xueying Sun, Mingmin Liu, Zhiwei Fan.
Hybrid6D: A Dual-Stream Transformer-CNN Approach for 6D Object Pose Estimation from RGB-D Images, 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), Koh Samui, Thailand, 2023, pp. 1-6, doi: 10.1109/ROBIO58561.2023.10354630. EI
[10] Xueying Sun, Qiang Zhang, Yifei Wei, Mingmin Liu. Risk-Aware Deep Reinforcement Learning for Robot Crowd Navigation. Electronics 2023, 12, 4744. SCI.
[11] Qiang Zhang, Xueying Sun, Ruixuan Chang and Ren Sun, Robot Grasp Detection Based on Oriented Reppoints With Angle Refinement Strategy,2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC), Chongqing, China, 2023, pp. 26-29, doi: 10.1109/ITOEC57671.2023.10291899. EI.
[12] Jianwei Zhu, Qiang Zhang, Zheng Zhao, Jinling Wang and Xueying Sun, Convective Development Nowcasting Using Dual Polarization Radar Based on Cross Modal Fusion*,2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Chongqing, China, 2023, pp. 1470-1474, doi: 10.1109/ITAIC58329.2023.10409003.
[13]Zihang Wang, Qiang Zhang*, Xueying Sun, Jianwei Zhu, Hao Wei. DMG6D: A Depth-based Multi-Flow Global Feature Fusion Network for 6D Pose Estimation [c].2024 IEEE 20th International Conference on Automation Science and Engineering (IEEE CASE 2024). Bari, Italy, 2024.
[14] Zhu W, Sun X, Zhang Q. DCG-Net: Enhanced Hyperspectral Image Classification with Dual-Branch Convolutional Neural Network and Graph Convolutional Neural Network Integration[J]. Electronics, 2024, 13(16): 3271. SCI.
[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.
[3] Jiangsu Province’s "Industry-university-research cooperation project": 40.5kV Intelligent Modular C-GIS Switchgear Technology Development (BY2021331).
[1] Qiang Zhang, Daokui Qu, Fang Xu, Kai Jia, Xueying Sun. Dual-layer Density Estimation for Multiple Object Instance Detection. Journal of Sensors, vol. 2016, p.1-12. DOI: 10.1155/2016/6937852. SCI.
[2] Qiang Zhang, Jianwei Zhu, Xueying Sun, Mingmin Liu. HTC-Grasp: A Hybrid Transformer-CNN Architecture for Robotic Grasp Detection. Electronics 2023,12, 1505. SCI.
[3] Qiang Zhang, Xueying Sun. Bilateral Cross-Modal Fusion Network for Robot Grasp Detection. Sensors 2023,23, 3340. SCI.
[4] Zihang Wang, Xueying Sun, Hao Wei, Qing Ma, Qiang Zhang. Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal Integration.Machines2023,11, 891. SCI.
[5] Fan, Z.; Jia, K.; Zhang, L.; Zou, F.; Du, Z.; Liu, M.; Cao, Y.; Zhang, Q. A Cartesian-Based Trajectory Optimization with Jerk Constraints for a Robot. Entropy2023,25, 610. SCI.
[6] Qiang Zhang, Daokui Qu, Fang Xu, Nan Jiang, Kai Jia, Fengshan Zou. An Improved Method for Object Instance Detection Based on Object Center Estimation and Convex Quadrilateral Verification. In: The 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference (IEEE-ITNEC 2016), p. 174-177. DOI: 10.1109/ITNEC.2016.7560343. EI.
[7] Fang Xu, Qiang Zhang, Fengshan Zou, Kai Jia, Yanan Zhang and Xuewei Wang. Error Distribution Based Weighted Least Square Estimation for Service Robot Hand-eye Calibration. In: The 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (IEEE-ITOEC 2017). EI.
[8] Qiang Zhang, Daokui Qu, Fang Xu, Fengshan Zou. Robot Grasp Detection in Multiple Modality Fusion. In: 2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017). EI.
[9] Songhao Fu , Qiang Zhang, Xueying Sun, Mingmin Liu, Zhiwei Fan.
Hybrid6D: A Dual-Stream Transformer-CNN Approach for 6D Object Pose Estimation from RGB-D Images, 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), Koh Samui, Thailand, 2023, pp. 1-6, doi: 10.1109/ROBIO58561.2023.10354630. EI
[10] Xueying Sun, Qiang Zhang, Yifei Wei, Mingmin Liu. Risk-Aware Deep Reinforcement Learning for Robot Crowd Navigation. Electronics 2023, 12, 4744. SCI.
[11] Qiang Zhang, Xueying Sun, Ruixuan Chang and Ren Sun, Robot Grasp Detection Based on Oriented Reppoints With Angle Refinement Strategy,2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC), Chongqing, China, 2023, pp. 26-29, doi: 10.1109/ITOEC57671.2023.10291899. EI.
[12] Jianwei Zhu, Qiang Zhang, Zheng Zhao, Jinling Wang and Xueying Sun, Convective Development Nowcasting Using Dual Polarization Radar Based on Cross Modal Fusion*,2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Chongqing, China, 2023, pp. 1470-1474, doi: 10.1109/ITAIC58329.2023.10409003.
[13]Zihang Wang, Qiang Zhang*, Xueying Sun, Jianwei Zhu, Hao Wei. DMG6D: A Depth-based Multi-Flow Global Feature Fusion Network for 6D Pose Estimation [c].2024 IEEE 20th International Conference on Automation Science and Engineering (IEEE CASE 2024). Bari, Italy, 2024.
[14] Zhu W, Sun X, Zhang Q. DCG-Net: Enhanced Hyperspectral Image Classification with Dual-Branch Convolutional Neural Network and Graph Convolutional Neural Network Integration[J]. Electronics, 2024, 13(16): 3271. SCI.
[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
[1] Machine learning
[2] Computer vision
[3] Fundamentals of robotics
[4] Advanced Digitial Image Processing
学校地址：江苏省镇江市丹徒区长晖路666号
邮编：212100
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