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 a Muscle Synergy-Driven ANFIS Approach to Predict Continuous Knee Joint Movement was Reported by IEEE TFS
Our master students, Wenjuan Zhong and Xueming Fu, proposed a study about Prediction of Continuous Knee Joint Movement via a Muscle Synergy-Driven ANFIS Model in IEEE Transactions on Fuzzy Systems (IF = 12.029).
Our undergraduate students Ziqi Sun and Yishu Li conducted a study on short-term priming effects under the guidance of our PH. D. candidate Yichuan Jiang. This work was accepted to be published in IEEE Transactions on Cognitive and Developmental Systems (IF = 3.379).