Исследовательские работы
С использованием NOKOV Motion Capture

Gupta A, Semwal V B. Adaptive neural & fuzzy controller for exoskeleton gait pattern control based on musculoskeletal modeling[J]. Multimedia Tools and Applications, 2024, 83(16): 49419-49439.

Lv Y, Geng Z, Wu H, et al. Design and experimentation of the nested pneumatic soft actuator for hand exoskeleton[J]. Journal of Engineering and Applied Science, 2025, 72(1): 129.

Gao C, Wang C, Zhang J, et al. Design of Hybrid Variable Stiffness Human–Computer Interaction Contact Unit Module Based on Granular Jamming[J]. Chinese Journal of Mechanical Engineering, 2025: 100025.

Singh G, Chaudhary H, Singh R. Determination of Knee and Ankle Trajectories and Synthesis of Four-Bar Linkage for Rehabilitation[C]//International and National Conference on Machines and Mechanism. Singapore: Springer Nature Singapore, 2023: 61-70.

Gao C, Zhang J, Li H. Human Lower Limb Motor Ability Estimation Based on Human-Machine Coupling Interactive Contact Model[C]//International Conference on Intelligent Robotics and Applications. Singapore: Springer Nature Singapore, 2025: 275-286.

Wang Y, Wang A, Yue X, et al. Humanoid adaptive sliding mode control based on gait data[C]//2025 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2025: 884-889.

Sun J, Dai L, Yin Q, et al. Motion Analysis and Design on Pneumatic Actuators for Knee Assistive Devices[C]//2025 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2025: 1216-1221.

Lu Y, Huang Y, Jin W, et al. Personalized musculoskeletal model based multi-muscle force analysis for amputees with transtibial prostheses[J]. Journal of Biomechanics, 2025: 112913.

Li J, Wang K, Wang Y, et al. Reconfiguration planning and structure parameter design of a reconfigurable cable-driven lower limb rehabilitation robot[J]. Medical & Biological Engineering & Computing, 2025: 1-17.

Yu C, Wang Y, Dai Z, et al. Synthesis and Application of Reduced-Dimension Optimization for Rigid-Body Guidance of Stephenson-III Six-Bar Linkages on the Basis of Fourier Harmonic Characteristics[J]. Journal of Mechanisms and Robotics, 2026, 18(1): 011006.

Xu T, Sun Z, Li S, et al. Adjustable-Stiffness Hip Exoskeleton with Flexible Energy-Storage Module for 3D Gait Correction[J]. Machines, 2025, 13(10): 959.

Li J, Li Y, Sun Z, et al. Design and Analysis of a Magnetic Anchored and Cable-Driven Surgical Forceps for Minimally Invasive Surgery[J]. Micromachines, 2025, 16(10): 1109.

Wang C, Cheng B, Tang Q, et al. Design and Validation of a Brain-Controlled Hip Exoskeleton for Assisted Gait Rehabilitation Training[J]. Micromachines, 2025, 16(12): 1364.

Dong J, Zhao X, Wang C, et al. Kinematic and static analysis of a rigid-flexible hybrid robot with combined elastomer configuration of driving shafts and spinal rods[J]. Advances in Mechanical Engineering, 2025, 17(11): 16878132251378307.

Meng D, Guo T, Ma Z, et al. A Novel Variable-Diameter-Stiffness Cable-Driven Serpentine Manipulator: Design, Modeling, and Characterization[J]. IEEE/ASME Transactions on Mechatronics, 2025.

Zhang K, Li X, Chen X, et al. Complete Gait Phases Recognition Based on Muscle Synergy Using PSO-CNN-LSTM Algorithm[J]. IEEE Sensors Journal, 2025.

Yu X, Chen Y, Shi B, et al. Design and Evaluation of an Omnidirectional Wheel‐Driven Endoscope‐Assisted Robotic System Based on Motion Capture Control[J]. The International Journal of Medical Robotics and Computer Assisted Surgery, 2025, 21(3): e70070.

Guo J, Tang H, Li X, et al. Kinematic–kinetic compliant acetabular cup positioning based on preoperative motion tracking and musculoskeletal modeling for total hip arthroplasty[J]. Journal of Biomechanics, 2024, 176: 112332.

Zhao K, Teng Z, Gong N, et al. Clustering of Human Motion Trajectory for Lower Limb Rehabilitation Robot Design Based on Machine Learning[C]//ASME International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019, 59407: V003T04A068.

Wu M, Xu Y, Wang X, et al. Design and kinematics of a novel rigid-flexible coupling hybrid robot for aeroengine blades in situ repair[J]. Engineering Computations, 2024, 41(10): 2504-2533.

Lu Y, Zhou Z, Igarashi T, et al. Stiffness modulation in a 3-DoF pneumatic soft actuator for single-port transvesical prostatectomies[J]. Smart Materials and Structures, 2024, 34(1): 015021.

Wang X, Lin W, Zhao J, et al. Design of Wearable KOA Postoperative Rehabilitation Training Equipment[C]//ICMD: International Conference on Mechanical Design. Singapore: Springer Nature Singapore, 2023: 469-483.

Wang N, Wang Z, Li Z, et al. Design and Control of a Portable Soft Exosuit by Musculoskeletal Model-Based Optimization[C]//International Conference on Intelligent Robotics and Applications. Singapore: Springer Nature Singapore, 2023: 386-397.

Sun Z, Xu C, Wang G, et al. Noise-tolerant zeroing neural network control for a novel compliant actuator in lower-limb exoskeletons[J]. Neural Computing and Applications, 2024, 36(22): 13647-13663.

Li Y, Zi B, Sun Z, et al. Smooth trajectory planning for a cable driven parallel waist rehabilitation robot based on rehabilitation evaluation factors[J]. Chinese Journal of Mechanical Engineering, 2023, 36(1): 73.

Li J, Wang K, Wang Y, et al. Motion planning for a cable-driven lower limb rehabilitation robot with movable distal anchor points[J]. Journal of Bionic Engineering, 2023, 20(4): 1585-1596.

Wang X, Guo J, Wang J, et al. Human–Machine coupled modeling of mandibular musculoskeletal multibody system and its application in the designation of mandibular movement function trainer[J]. Mechanism and Machine Theory, 2024, 204: 105848.

Yan Y, He T, Liu Y, et al. Path Planning for Upper Limb Rehabilitation Based on Human Motion Feature Output[C]//2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2022: 549-554.

Yang M, Tian D, Li F, et al. A Knowledge Transfer-based Personalized Human–Robot Interaction Control Method for Lower Limb Exoskeletons[J]. IEEE Sensors Journal, 2024.

Sun L. Control design of lower limb rehabilitation robot based on gait data[C]//2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2024, 7: 486-491.

Lu Y, Huang Y, Yang R, et al. A Human-Prosthesis Coupled Musculoskeletal Model for Transtibial Amputees[J]. IEEE Transactions on Biomedical Engineering, 2025.

Gao S, Wang A, Duan H, et al. Humanoid Control Technology for Lower Limb Rehabilitation Robots Based on Human Gait Data[C]//2024 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2024: 171-176.

Chen W, Ma Y, Ren L, et al. A lightweight powered knee prosthesis replicating early-stance knee flexion during level walking[J]. IEEE Robotics and Automation Letters, 2024, 9(11): 9693-9700.

Zhang X, Wang A, Gao S, et al. Human-machine Integration of Lower Limb Rehabilitation Robot[C]//2024 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2024: 177-180.

Xin X, Wang A, Liao W, et al. Individualized Continuous Gait Generation for Rehabilitation Robots Based on LSTM[C]//2022 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2022: 1-4.

Duan H, Wang A, Xin X. Individual Gait Generation for Rehabilitation Robots Based on GLS network[C]//2023 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2023: 1-4.

Ren J, Wang A, Meng L, et al. Personalized Gait Generation Using Convolutional Neural Network for Lower Limb Rehabilitation Robots[C]//2024 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE, 2024: 617-622.

Duan H, Wang A, Gao S, et al. Analysis of Motion Intention Prediction Based on Human Gait Data[C]//2024 China Automation Congress (CAC). IEEE, 2024: 4949-4953.

Chen Q, Zi B, Sun Z, et al. Design and development of a new cable-driven parallel robot for waist rehabilitation[J]. IEEE/ASME transactions on mechatronics, 2019, 24(4): 1497-1507.

Zhewen Z, Hongliu Y, Chengjia W, et al. A comprehensive study on Mecanum wheel-based mobility and suspension solutions for intelligent nursing wheelchairs[J]. Scientific Reports, 2024, 14(1): 20644.

Wu X, Tang Q, Wang F, et al. A Robot-Assisted System for Dental Implantation[C]//International Conference on Intelligent Robotics and Applications. Cham: Springer International Publishing, 2022: 15-28.

Yu C, Li J, Nie B, et al. Neural Network‐Based Adaptive Sliding Mode Control for Upper Limb Rehabilitation With Disturbance Observer[J]. Computational Intelligence, 2025, 41(3): e70075.

Ren J, Wang A, Ma Z, et al. Gait prediction for rehabilitation robots based on deep learning[C]//2022 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2022: 86-90.

Li J, Tian D, Li F, et al. Control of Self-Balancing Lower Limb Exoskeleton for Various Wearers Under Dynamic Deformation[J]. IEEE/ASME Transactions on Mechatronics, 2024.

Wei D, Zhou J, Zhu Y, et al. Axis-space framework for cable-driven soft continuum robot control via reinforcement learning[J]. Communications Engineering, 2023, 2(1): 61.

Sun N, Wang Z, Cheng L, et al. Design and Performance Analysis of a Series-Parallel Self-Aligning Index Finger Exoskeleton[J]. IEEE Robotics and Automation Letters, 2025.

Cha M, Hur P. Estimation of Gait Phase of Human Stair Descent Walking Based on Phase Variable Approach[J]. IEEE Robotics and Automation Letters, 2025.

Wang W, Dong B, Zhang W, et al. Design and analysis of human-machine compatibility of an end-traction ankle rehabilitation robot based on IMU and MoCap[J]. Sensors and Actuators A: Physical, 2025: 116887.

Zhou X, Zheng X, Miao G, et al. Particle swarm optimization-based unscented Kalman Filter for tremor suppression in minimally invasive surgical robots[J]. Biomedical Signal Processing and Control, 2025, 110: 108279.

Zhang M, Chen Y, Gao Y, et al. Adaptive sliding mode tracking and disturbance rejection control for cable-driven continuum robots in endoscopic surgery[J]. Control Engineering Practice, 2026, 168: 106684.

M. Shen, S. Guo, C. Li and Z. Wang, "Physics-Informed Residual Network for Magnetic Dipole Model Correction and High-Accuracy Localization," 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025, pp. 2171-2176, doi: 10.1109/IROS60139.2025.11246085.

Z. Tang, X. Deng, Y. Wen, X. Han, J. Wu and Z. Yu, "Cross-Activity sEMG-Driven Joint Angle Estimation via Hybrid Attention Fusion: Bridging Traditional Features and Deep Spatial Representations," 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, 2025, pp. 14611-14616, doi: 10.1109/IROS60139.2025.11247465.

Zhang Y, Song W, Li A, et al. Kinetostatics of Magnetic Captained Elastica Driven by Revolutional and Rotational Magnet[J]. IEEE/ASME Transactions on Mechatronics, 2025.

Wang H, Liu T, Chen J, et al. Full-Perception Robotic Surgery Environment with Anti-Occlusion Global–Local Joint Positioning[J]. Sensors, 2023, 23(20): 8637.

Xie L, Zhu L, Jin X, et al. Curvature-Based Continuous Steering of Stiffness-dominant Concentric Tube Robots[J]. IEEE Transactions on Automation Science and Engineering, 2025.

Yao, S., Luo, P., Yue, Y., Chen, Y., Yan, H., & Meng, M. Q. H. (2025). Adaptive Load-Dependent Sim2Real Framework for Path Tracking Toward Tendon-Driven Continuum Robots. IEEE/ASME Transactions on Mechatronics.

Li H, Guo S, He R, et al. A Home-based Dual-mode Upper Limb Rehabilitation System: Teleoperation Mode and Bilateral Mode with sEMG and IMU[J]. IEEE Journal of Biomedical and Health Informatics, 2025.

Pei S, Wang J, Tian C, et al. Assist-as-Needed Controller of a Rehabilitation Exoskeleton for Upper-Limb Natural Movements[J]. Applied Sciences (2076-3417), 2025, 15(5).

Pei S, Wang J, Guo J, et al. A human-like inverse kinematics algorithm of an upper limb rehabilitation exoskeleton[J]. Symmetry, 2023, 15(9): 1657.

Wang J, Pei S, Guo J, et al. An upper limb exoskeleton motion generation algorithm based on separating shoulder and arm motion[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024, 32: 1142-1153.

Chen Y, Miao S, Ye J, et al. Upper-limb rehabilitation with a dual-mode individualized exoskeleton robot: A generative-model-based solution[J]. The International Journal of Robotics Research, 2025: 02783649251333479.

Guo Y, Chen Y, Zhou X, et al. A Dual‐Mode Robot‐Assisted Plate Implantation Method for Femoral Shaft Fracture[J]. The International Journal of Medical Robotics and Computer Assisted Surgery, 2024, 20(6): e70008.

Feng M, Ni Z, Fu Y, et al. Kinematic analysis of a flexible surgical instrument for robot-assisted minimally invasive surgery[C]//2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021: 12229-12235.

Feng M, Ni Z X, Li A, et al. Master manipulator optimisation for robot assisted minimally invasive surgery[J]. The International Journal of Medical Robotics and Computer Assisted Surgery, 2021, 17(2): e2208.

Ma T, Fan T, Xu X, et al. Design of a Portable Biofeedback System for Monitoring Femoral Load During Partial Weight-Bearing Walking[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2025.

Chen W, Li Z, Cui X, et al. Mechanical design and kinematic modeling of a cable-driven arm exoskeleton incorporating inaccurate human limb anthropomorphic parameters[J]. Sensors, 2019, 19(20): 4461.

Li, J.; Wang, C.; Deng, H. Hybrid Nursing Robot Based on Humanoid Pick-Up Action: Safe Transfers in Living Environments for Lower Limb Disabilities. Actuators 2023, 12, 438. https://doi.org/10.3390/act12120438

Chen J, Yao K, Yu C, Xu Y, Zhou S, Ye J. Synthesis of a single-degree-of-freedom noncircular pulley-five-bar finger rehabilitation mechanism considering force transfer performance. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of

Hu N, Wang A. Kinematics and dynamics analysis of lower limbs based on human motion data[C]//2020 Chinese Automation Congress (CAC). IEEE, 2020: 6727-6732.

Wang A, Hu N, Yu J, et al. Research on robot control system of lower limb rehabilitation robot based on human gait comfort[C]//2019 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE, 2019: 34-39.

J. Fu et al., "Augmented Reality-Assisted Robot Learning Framework for Minimally Invasive Surgery Task," 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 11647-11653

K. Yin et al., "Artificial Human Balance Control by Calf Muscle Activation Modelling," in IEEE Access, vol. 8, pp. 86732-86744, 2020

Wang, A., Lu, J., Ge, Y., Yu, J., Zhang, S. (2020). Simulation of Limb Rehabilitation Robot Based on OpenSim. In: Pan, L., Liang, J., Qu, B. (eds) Bio-inspired Computing: Theories and Applications. BIC-TA 2019. Communications in Computer and Information Science, vol 1160.

J. Lu, W. Aihui and Z. Ma, "Adaptive control of the rehabilitation robot with the model uncertainty based on real human gait," 2020 International Conference on Advanced Mechatronic Systems (ICAMechS), Hanoi, Vietnam, 2020, pp. 282-285

J. Yu, F. Cai, A. Wang, N. Hu and P. Wu, "Adaptive Research of Lower Limb Rehabilitation Robot Based on Human Gait," 2018 International Conference on Advanced Mechatronic Systems (ICAMechS), Zhengzhou, China, 2018, pp. 86-92

Ningbo Yu, Yang Yu, Jianeng Lin, Yuchen Yang, Jingchao Wu, Siquan Liang, Jialing Wu , Jianda Han，A non-contact system for intraoperative quantitative assessment of bradykinesia in deep brain stimulation surgery，Computer Methods and Programs in Biomedicine，2022

Bing Chen，Bin Zi，Zhengyu Wang，Yuan Li, Jun Qian，Development of Robotic Ankle–Foot Orthosis With Series Elastic Actuator and Magneto-Rheological Brak，Journal of Mechanisms and Robotics，Hefei University of Technology

Yongping Dan，Yifei Ge，Aihui Wang，Shuaishuai Zhan，Human-Like Control System Design of the Lower Limb Rehabilitation Robot Based on Adaptive RBF Neural Network，RiTA 2020，Zhongyuan Institute of Technology

Shuaishuai Zhang，Aihui Wang，Zhengxiang Ma，Jun Yu，Wei Li，Yan Wang，Human Gait Process Analysis and Rehabilitation Robot Humanoid Control Based on OpenSim，2021 International Conference on Advanced Mechatronic Systems (ICAMechS），Zhongyuan Institute of Technology

Aihui Wang，Wei Li; Jun Yu，Shuaishuai Zhang，Impedance control based on the human gait data for lower limb rehabilitation robot，2021 China Automation Congress (CAC)，Zhongyuan Institute of Technology

X. Guo, Z. Zhou, Y. Gao, J. Mai and Q. Wang, "Serial–Parallel Mechanism and Controller Design of a Robotic Brace for Dynamic Trunk Support," in IEEE/ASME Transactions on Mechatronics, vol. 27, no. 6, pp. 4518-4529, Dec. 2022, doi: 10.1109/TMECH.2022.3155931.

Jun Yu，Shuaishuai Zhang，Aihui Wang，Wei Li，Lulu Song，Musculoskeletal modeling and humanoid control of robots based on human gait data，PeerJ Computer Science，Zhongyuan Institute of Technology

Yifei Ge，Yongping Dan，Aihui Wang，Shuaishuai Zhang，Lower limb rehabilitation robot control based on human gait data and plantar reaction force，2020 International Conference on Advanced Mechatronic Systems (ICAMechS)

Dewei Yang，Qi Lv，Gang Liao，Kai Zheng，Jiufei Luo，Bo Wei，Learning from Demonstration: Dynamical Movement Primitives Based Reusable Suturing Skill Modelling Method，2018 Chinese Automation Congress (CAC)，2018