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Wei Meng
Wei Meng
University of Leeds, Wuhan University of Technology, University of Auckland
Verified email at leeds.ac.uk
Title
Cited by
Cited by
Year
Recent development of mechanisms and control strategies for robot-assisted lower limb rehabilitation
W Meng, Q Liu, Z Zhou, Q Ai, B Sheng, SS Xie
Mechatronics 31, 132-145, 2015
5062015
Upper limb rehabilitation using robotic exoskeleton systems: A systematic review
N Rehmat, J Zuo, W Meng, Q Liu, SQ Xie, H Liang
International Journal of Intelligent Robotics and Applications 2, 283-295, 2018
1312018
Robust iterative feedback tuning control of a compliant rehabilitation robot for repetitive ankle training
W Meng, SQ Xie, Q Liu, CZ Lu, Q Ai
IEEE/ASME Transactions on Mechatronics 22 (1), 173-184, 2016
1312016
Coupled fractional-order sliding mode control and obstacle avoidance of a four-wheeled steerable mobile robot
Y Xie, X Zhang, W Meng, S Zheng, L Jiang, J Meng, S Wang
ISA transactions 108, 282-294, 2021
1202021
High-order model-free adaptive iterative learning control of pneumatic artificial muscle with enhanced convergence
Q Ai, D Ke, J Zuo, W Meng, Q Liu, Z Zhang, SQ Xie
IEEE Transactions on Industrial Electronics 67 (11), 9548-9559, 2019
1202019
Bilateral robots for upper-limb stroke rehabilitation: State of the art and future prospects
B Sheng, Y Zhang, W Meng, C Deng, S Xie
Medical engineering & physics 38 (7), 587-606, 2016
1182016
Adaptive patient-cooperative control of a compliant ankle rehabilitation robot (CARR) with enhanced training safety
M Zhang, SQ Xie, X Li, G Zhu, W Meng, X Huang, AJ Veale
IEEE Transactions on Industrial Electronics 65 (2), 1398-1407, 2017
1032017
Machine learning in robot assisted upper limb rehabilitation: A focused review
Q Ai, Z Liu, W Meng, Q Liu, SQ Xie
IEEE Transactions on Cognitive and Developmental Systems, 2021
632021
Bearing-only formation control with prespecified convergence time
Z Li, H Tnunay, S Zhao, W Meng, SQ Xie, Z Ding
IEEE Transactions on Cybernetics 52 (1), 620-629, 2020
602020
Disturbance-estimated adaptive backstepping sliding mode control of a pneumatic muscles-driven ankle rehabilitation robot
Q Ai, C Zhu, J Zuo, W Meng, Q Liu, SQ Xie, M Yang
Sensors 18 (1), 66, 2017
602017
A subject-specific EMG-driven musculoskeletal model for applications in lower-limb rehabilitation robotics
Q Ai, B Ding, Q Liu, W Meng
International Journal of Humanoid Robotics 13 (03), 1650005, 2016
422016
Active interaction control applied to a lower limb rehabilitation robot by using EMG recognition and impedance model
W Meng, Q Liu, Z Zhou, Q Ai
Industrial Robot: An International Journal 41 (5), 465-479, 2014
412014
Bioinspired stretchable fiber-based sensor toward intelligent human–machine interactions
T Li, Y Su, F Chen, H Zheng, W Meng, Z Liu, Q Ai, Q Liu, Y Tan, Z Zhou
ACS Applied Materials & Interfaces 14 (19), 22666-22677, 2022
382022
Practical velocity tracking control of a parallel robot based on fuzzy adaptive algorithm
Z Zhou, W Meng, Q Ai, Q Liu, X Wu
Advances in Mechanical Engineering 5, 574896, 2013
362013
Hierarchical compliance control of a soft ankle rehabilitation robot actuated by pneumatic muscles
Q Liu, A Liu, W Meng, Q Ai, SQ Xie
Frontiers in Neurorobotics 11, 64, 2017
352017
Fuzzy sliding mode control of a multi-DOF parallel robot in rehabilitation environment
Q Liu, D Liu, W Meng, Z Zhou, Q Ai
International journal of humanoid robotics 11 (01), 1450004, 2014
312014
An EMG-based force prediction and control approach for robot-assisted lower limb rehabilitation
W Meng, B Ding, Z Zhou, Q Liu, Q Ai
2014 IEEE international conference on systems, man, and cybernetics (SMC …, 2014
302014
A robot-driven computational model for estimating passive ankle torque with subject-specific adaptation
M Zhang, W Meng, TC Davies, Y Zhang, SQ Xie
IEEE Transactions on Biomedical Engineering 63 (4), 814-821, 2015
292015
An attention-based CNN-LSTM model with limb synergy for joint angles prediction
C Zhu, Q Liu, W Meng, Q Ai, SQ Xie
2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2021
282021
sEMG-based dynamic muscle fatigue classification using SVM with improved whale optimization algorithm
Q Liu, Y Liu, C Zhang, Z Ruan, W Meng, Y Cai, Q Ai
IEEE Internet of Things Journal 8 (23), 16835-16844, 2021
282021
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