Beijing Institute of Technology | China
Dr. Yali Liu is an accomplished researcher and Assistant Professor at the School of Mechatronics Engineering, Beijing Institute of Technology, specializing in exoskeleton robotics, biomechanics, and human–machine interaction. Her research focuses on developing high-power assistive and load-bearing exoskeleton systems, emphasizing mechanical design, ergonomic performance, gait analysis, and adaptive control. As a Principal Investigator for several major projects—including the High-Power Exoskeleton Robot Development, Ergonomic Performance Analysis of Protection-Carrying Systems, and Expandable Backpack-Carrying Systems—Dr. Liu has advanced innovative technologies to improve human mobility, load assistance, and comfort in wearable robotics. Her postdoctoral work concentrated on biomechanical modeling and physiological simulation, supported by national and military science foundations. She has led projects on motion pattern recognition, posture prediction, and human performance evaluation, contributing significantly to the design and control of lower-limb exoskeletons. Dr. Liu has published extensively, with over 14 SCI-indexed papers and several EI-indexed publications in leading journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Sensors Journal, Robotics and Autonomous Systems, and Computers in Biology and Medicine. Her studies cover key areas like continuous gait prediction, sEMG-based motion estimation, sensor optimization, and adaptive exoskeleton control algorithms. Through her comprehensive expertise in human motion analysis, assistive robotics, and neural network–based control systems, Dr. Liu has established herself as a leading researcher in wearable robotics, contributing both theoretical insights and practical innovations that enhance human performance and rehabilitation technologies.
Profile: Scopus |Orcid
Featured Publications
Xinyu Guan; Hanyu Chen; Yali Liu; Ziwei Zhang; Linhong Ji (2025). Predicting ground reaction forces and center of pressures from kinematic data in crutch gait based on LSTM. Medical Engineering & Physics
Xunju Ma; Yali Liu; Xiaohui Zhang; Lorenzo Masia; Qiuzhi Song (2025). Real-Time Continuous Locomotion Mode Recognition and Transition Prediction for Human With Lower Limb Exoskeleton. IEEE Journal of Biomedical and Health Informatics
Liping Huang, Jianbin Zheng, Yifan Gao, Qiuzhi Song & Yali Liu (2025). A Lower Limb Exoskeleton Adaptive Control Method Based on Model-free Reinforcement Learning and Improved Dynamic Movement Primitives. Journal of Intelligent and Robotic Systems Theory and Applications
Ye Liu, Qiuzhi Song, Hongbin Deng, Yali Liu, Pengwan Chen & Kun Huang (2025). Analysis of electrical characteristics of electric explosion wire in different environments based on normal model. Electrical Engineering
Yue Liu; Yali Liu; Qiuzhi Song; Dehao Wu; Dongnan Jin (2024). Gait Event Detection Based on Fuzzy Logic Model by Using IMU Signals of Lower Limbs [J]. IEEE Sensors Journal,