News
张明明：任务导向性康复机器人及其多模态交互技术
张明明助理教授受邀在《机器人》“医疗机器人技术”专题在线论坛，于9月10日（周五）14:00-15:00作报告，题目为《任务导向性康复机器人及其多模态交互技术》
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.
Prof. Dongrui Wu will Give an Online Lecture about Machine Learning in Brain-Computer Interfaces
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。
Prof. Guanglin Li was Invited to Give an Online Lecture about Human-computer Interaction
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).
Undergraduate Students Published a Article on Short-term Priming Effects in IEEE TCDS
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).
Research Progress in EEG-fNIRS Bimodal Signal Processing Framework Report by IEEE TNSRE
Our Ph.D. candidate Yichuan Jiang proposed a unified EEG-fNIRS bimodal signal processing framework to characterize neural activities-induced by robot-assisted bimanual training in IEEE Transactions on Neural Systems and Rehabilitation Engineering (IF = 3.802).
Research Progress in Nonlinear Analysis of Electroencephalogram Variability as a Measure of the Depth of Anesthesia was Reported by IEEE TIM
Our postdoc Yi-Feng Chen proposed EEG variability analysis and nonlinear models for measuring the depth of anesthesia in IEEE Transactions on Instrumentation and Measurement (IF = 4.016).
Research Progress in EEG-based Mental Stress Classification via a Symmetric Convolutional and Adversarial Neural Network was Reported by IEEE TNSRE
Our research assistant Ruiqi Fu proposed a study about EEG-based mental stress classification via a Symmetric Convolutional and Adversarial Neural Network in IEEE Transactions on Neural Systems and Rehabilitation Engineering (IF = 3.802).
Research Progress in Toward Gait Symmetry Enhancement via a Cable-Driven Exoskeleton Powered by Series Elastic Actuators was Reported by IEEE RAL
Our Ph.D. student Bin Zhong proposed a study about Enhancement via a Cable-Driven Exoskeleton Powered in IEEE Robotics and Automation Letters (IF = 3.741).
Research Progress in the Bilateral Asymmetry of Hand Force Production in Dynamic Physically-Coupled Tasks was Reported by IEEE JBHI
Our Ph.D. student Chenyang Sun proposed a study about bilateral asymmetry of hand force production in dynamic physically-coupled tasks in IEEE Journal of Biomedical and Health Informatics (IF = 5.772).
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.
Research Progress in the Field of Servo Motor Drive Control Reported by IEEE TIE
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.
Research on the direction of flexible Rehabilitation Exoskeleton on-demand assistance strategy reported by IEEE TASE
2019级博士研究生钟斌在机器人工程领域旗舰期刊 – IEEE Transactions on Automation Science and Engineering（IF=5.293）上发表最新研究成果，该研究提出了一种基于滑模控制策略的下肢外骨骼关节位置及柔性同步控制算法，适用于人造气动肌肉驱动的康复设备，实现了按需辅助的柔顺控制提升了康复的效果。