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Wei Meng
Wei Meng
University of Leeds, Wuhan University of Technology, University of Auckland
在 leeds.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
4742015
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
1222016
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
1092016
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
1052018
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
1042019
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
1012021
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
992017
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
562017
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
452020
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
422021
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
392016
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
372014
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
352013
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
332017
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
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
292014
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
272014
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
242022
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
242021
Robot-assisted ankle rehabilitation for the treatment of drop foot: A case study
G Zhu, X Zeng, M Zhang, S Xie, W Meng, X Huang, Q Xu
2016 12th IEEE/ASME International Conference on Mechatronic and Embedded …, 2016
232016
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