Analysis and Experimental Verification of Human-Robot Coupling Collaboration Characteristics for Lower Extremity Exoskeleton Rehabilitation Robot Based on ADAMS

被引:0
|
作者
Wang, Peiqin [1 ]
Song, Hui [1 ]
Liu, Runqiang [1 ]
Jiang, Yunchun [1 ]
Zheng, Yi [1 ,2 ]
机构
[1] Qingdao Huanghai Univ, Inst Intelligent Mfg, Qingdao 266427, Shandong, Peoples R China
[2] Qingdao Univ Technol, Sch Mech & Automot Engn, Qingdao 266520, Peoples R China
来源
MANUFACTURING TECHNOLOGY | 2024年 / 24卷 / 03期
关键词
Exoskeleton Rehabilitation Robot; Human-Machine Coupling; ADAMSIntroduction; ANKLE; EXERCISES;
D O I
10.21062/mft.2024.055
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Motor rehabilitation contributes to neural remodeling in individuals with motor disabilities, which is crucial for their recovery of motor ability. In addressing the No. of human-machine coupling and synergistic motion characteristics in motor rehabilitation, this study analyzes the collaborative motion characteristics of each joint in the lower limbs. A virtual human-machine coupling system is proposed, and the driving functions of the human-machine coupling system are designed. By utilizing ADAMS motion simulation software, the motion characteristics of the human-machine system are analyzed, and the variation patterns of motion parameters at key positions are obtained. Based on this, the system's synergy is analyzed and experimentally validated from the perspectives of gait, motion speed, and joint motion angles. The experimental results demonstrate that the hip and knee joint angles of the exoskeleton robot exhibit a motion pattern highly consistent with that of the human body, with an angle error of less than 3 degrees indicating excellent synergy.
引用
收藏
页码:465 / 477
页数:13
相关论文
共 50 条
  • [31] A Novel Human-Robot Cooperative Method for Upper Extremity Rehabilitation
    Jing Bai
    Aiguo Song
    Baoguo Xu
    Jieyan Nie
    Huijun Li
    International Journal of Social Robotics, 2017, 9 : 265 - 275
  • [32] Human-robot cooperative control based on sEMG for the upper limb exoskeleton robot
    Liu, Hao
    Tao, Jun
    Lyu, Pan
    Tian, Fang
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 125
  • [33] Tactile-Based Human-Robot Collaboration: A Performance Analysis
    Grella, Francesco
    Canale, Roberto
    Giovinazzo, Francesco
    Albini, Alessandro
    Cannata, Giorgio
    ADVANCES IN SYSTEM-INTEGRATED INTELLIGENCE, SYSINT 2022, 2023, 546 : 437 - 445
  • [34] Modeling and Analysis of Human Comfort in Human-Robot Collaboration
    Yan, Yuchen
    Su, Haotian
    Jia, Yunyi
    BIOMIMETICS, 2023, 8 (06)
  • [35] A Lower Limb Exoskeleton Research Platform to Investigate Human-Robot Interaction
    Bartenbach, Volker
    Wyss, Dario
    Seuret, Dominique
    Riener, Robert
    PROCEEDINGS OF THE IEEE/RAS-EMBS INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR 2015), 2015, : 600 - 605
  • [36] Analysis Study on Human Emotion in Human-Robot Collaboration
    Jafar, Fairul Azni
    Abdullah, Nurhidayu
    Zakaria, Nurul Azma
    Mokhtar, Mohd Najib Ali
    ADVANCED SCIENCE LETTERS, 2014, 20 (01) : 148 - 152
  • [37] Dynamic analysis and control of a hybrid lower limb rehabilitation robot to reduce human-robot interaction forces
    Imani, Babak
    Najafi, Farid
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, 2023, 237 (03) : 336 - 347
  • [38] Coupling Deep Discriminative and Generative Models for Reactive Robot Planning in Human-Robot Collaboration
    Oshin, Olusegun
    Bernal, Edgar A.
    Nair, Binu M.
    Ding, Jerry
    Varma, Richa
    Osborne, Richard W.
    Tunstel, Eddie
    Stramandinoli, Francesca
    2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 1869 - 1874
  • [39] Adaptive Gait Training of a Lower Limb Rehabilitation Robot Based on Human-Robot Interaction Force Measurement
    Yu, Fuyang
    Liu, Yu
    Wu, Zhengxing
    Tan, Min
    Yu, Junzhi
    CYBORG AND BIONIC SYSTEMS, 2024, 5
  • [40] Constrained control methods for lower extremity rehabilitation exoskeleton robot considering unknown perturbations
    Tian, Jin
    Yuan, Liang
    Xiao, Wendong
    Ran, Teng
    Zhang, Jianbo
    He, Li
    NONLINEAR DYNAMICS, 2022, 108 (02) : 1395 - 1408