DESIGN OF 1-DOF ROBOT WITH HUMANOID GAIT FOR LOWER LIMB REHABILITATION BASED ON WATT-I SIX-BAR MECHANISM

被引:0
作者
Song, Wanbing [1 ]
Gu, Chenchen [1 ]
Hou, Qitao [1 ]
Teng, Zhiqiang [1 ]
Zhao, Ping [1 ]
机构
[1] Hefei Univ Technol, Sch Mech Engn, Hefei, Peoples R China
来源
PROCEEDINGS OF THE ASME 2020 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2020, VOL 5 | 2020年
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
lower limb rehabilitation robot; Watt-I six-bar mechanism; GA-BFGS hybrid algorithm; path synthesis; gait trajectory;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The major drawbacks of current lower limb rehabilitation robots are high cost and complex structure which make them inappropriate to be applied in the community and family. In this paper, we design an 1-degree-of-freedom (DOF) robot with humanoid gait for lower limb rehabilitation based on Watt-I six-bar mechanism. Let the normal gait trajectory be target trajectory, the dimensions of the mechanism are calculated by path synthesis. First, the objective function to reflect the accuracy of trajectory reproduction and relevant constraints are established. Then GA-BFGS hybrid algorithm is used to minimize the objective function. After that, the optimized mechanism is analyzed by trajectory comparison, velocity / acceleration analysis and joint angle detection. Further, the kinematic simulation of the mechanism is also completed. The results show that while the crank is rotating at a constant speed, the mechanism can reproduce the time sequence and the shape of target trajectory approximately to realize walk training for patients with lower limb disorders whose legs are 810.0-860.0mm long (the corresponding heights are about 1650.0-1750.0mm). Finally, the specific structure of lower limb rehabilitation robot based on this mechanism is designed and the principle prototype model is given.
引用
收藏
页数:8
相关论文
共 15 条
[1]  
Colombo G, 2000, J REHABIL RES DEV, V37, P693
[2]  
[姜礼杰 Jiang Lijie], 2016, [机器人, Robot], V38, P495
[3]  
Li Lili, 2018, MS Thesis
[4]  
Low KH, 2005, 2005 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATIONS, VOLS 1-4, CONFERENCE PROCEEDINGS, P1099
[5]   Evidence-based educational guidelines for stroke survivors after discharge home [J].
Ostwald, Sharon K. ;
Davis, Sally ;
Hersch, Gayle ;
Kelley, Carolyn ;
Godwin, Kyler M. .
JOURNAL OF NEUROSCIENCE NURSING, 2008, 40 (03) :173-+
[6]   Motion planning of a footpad-type walking rehabilitation robot considering motion of metatarsophalangeal joint [J].
Qin, Tao ;
Zhang, Lixun .
Jiqiren/Robot, 2014, 36 (03) :330-336
[7]   Muscle activation patterns of healthy subjects during floor walking and stair climbing on an end-effector-based gait rehabilitation robot [J].
Schmidt, Henning ;
Volkmar, Mirjam ;
Werner, Cordula ;
Helmich, Ingo ;
Piorko, Frank ;
Krueger, Joerg ;
Hesse, Stefan .
2007 IEEE 10TH INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, VOLS 1 AND 2, 2007, :1077-+
[8]   Conceptual design and dimensional synthesis of cam-linkage mechanisms for gait rehabilitation [J].
Shao, Yixin ;
Xiang, Zhongxia ;
Liu, Haitao ;
Li, Lili .
MECHANISM AND MACHINE THEORY, 2016, 104 :31-42
[9]   Quantified self and human movement: A review on the clinical impact of wearable sensing and feedback for gait analysis and intervention [J].
Shull, Pete B. ;
Jirattigalachote, Wisit ;
Hunt, Michael A. ;
Cutkosky, Mark R. ;
Delp, Scott L. .
GAIT & POSTURE, 2014, 40 (01) :11-19
[10]   A novel multimodal communication framework using robot partner for aging population [J].
Tang, Dalai ;
Yusuf, Bakhtiar ;
Botzheim, Janos ;
Kubota, Naoyuki ;
Chan, Chee Seng .
EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (09) :4540-4555