Welcome to Brain-Robot Rehabilitation Technology Lab. Our lab aims at using robots, artificial intelligence, neuroscience, and other technical methods to develop an accurate, real-time closed-loop, life task-oriented neural rehabilitation system.
Our lab is led by Prof. Mingming Zhang, who is a PI and doctoral supervisor of the Department of Biomedical Engineering, SUSTech. Now, there are 3 postdoctoral fellows, 3 doctoral students, 5 master students, and 2 research assistants in our lab.
At present, our team has carried out research in the fields of (1) physical human-robot interaction, (2) brain-computer interfaces for neural rehabilitation, and (3) wearable robotics for rehabilitation and enhancement.
Physical Human-Robot Interaction
Brain-Computer Interfaces for Neural Rehabilitation
Wearable Robotics for Rehabilitation and Enhancement
Prof. Zhang Mingming gave a Keynote Talk in 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR)
The 2021 IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR 2021) took place from July 15 to 19, 2021 in Xining, Qinghai, China. Dr. Mingming Zhang, from Southern University of Science and Technology, gave a Keynote Talk with the topic as Task-oriented rehabilitation techniques with robot-assisted information feedback.
华中科技大学人工智能与自动化学院教授、博导，图像信息处理与智能控制教育部重点实验室副主任伍冬睿，将于2021年5月27日下午3点-4点在腾讯会议（会议号：960209065），为我们带来线上报告，题目为：Machine Learning in Brain-Computer
Prof. Wei Chen will Give an Online Lecture about Flexible Sensor System and Health Information Processing
复旦大学教授、博士生导师 信息科学与工程学院，智慧医疗电子中心主任陈炜，受张明明老师邀请，将于2021年5月26日上午10点-11点在腾讯会议（会议号：182 283 323）开展线上报告，题目为：柔性传感系统与健康信息处理。
On 27 June 2020, Prof. Guanglin Li, the researcher of the Key Laboratory of the human-computer intelligent collaborative system of the Chinese Academy of Sciences, was invited by Prof. Mingming Zhang to give an online lecture on the Tencent Meeting.
Research Progress in the Performance-based Iterative Learning Control Strategy for Task-oriented Rehabilitation was Reported by IEEE TCDS
Our postdoctoral researcher, Dr. Miao Qing proposed a performance-based iterative learning control strategy for task-oriented rehabilitation in IEEE Transactions on Cognitive and Developmental Systems (IF = 2.667). This method could be used for robot-assisted upper limb training, which can adaptively and rapidly convergent to subject-specific training difficulty levels for maximizing active participation of the patients.
Our postdoctoral researcher, Dr. Li Ping proposed an active disturbance rejection control (ADRC) method by combining 2-DOF internal model control (IMC) rules and linear extended state observer (LSO) in IEEE Transactions on Industrial Electronics (IF = 7.503). This method could be used for motion control of servo motor drive system with network communication delay, which significantly improves the control accuracy of servo system under parameter uncertainty and external disturbance.