A 4-DOF Workspace Lower Limb Rehabilitation Robot: Mechanism Design, Human Joint Analysis and Trajectory Planning

被引:11
|
作者
Wang, Hongbo [1 ,2 ]
Lin, Musong [1 ]
Jin, Zhennan [1 ,3 ]
Yan, Hao [1 ]
Liu, Guowei [4 ]
Liu, Shihe [4 ]
Hu, Xinyu [4 ]
机构
[1] Yanshan Univ, Parallel Robot & Mechatron Syst Lab Hebei Prov, Qinhuangdao 066004, Hebei, Peoples R China
[2] Fudan Univ, Acad Engn & Technol, Shanghai 200433, Peoples R China
[3] Taiyuan Locomot Depot Daqin Railway Co Ltd, Taiyuan 030045, Peoples R China
[4] Yanshan Univ, Minist Educ, Key Lab Adv Forging & Stamping Technol & Sci, Qinhuangdao 066004, Hebei, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 13期
基金
中国国家自然科学基金;
关键词
rehabilitation robot; human joint analysis; human-robot hybrid model; trajectory planning; ANKLE REHABILITATION; PARALLEL ROBOT; DISABILITY;
D O I
10.3390/app10134542
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Most of currently rehabilitation robots cannot achieve the adduction/abduction (A/A) training of the hip joint and lack the consideration of the patient handling. This paper presents a four degrees of freedom (DOF) spatial workspace lower limb rehabilitation robot, and it could provide flexion/extension (F/E) training to three lower limb joints and A/A training to the hip joint. The training method is conducting the patient's foot to complete the rehabilitation movement, and the patient could directly take training on the wheelchair and avoid frequent patient handling between the wheelchair and the rehabilitation device. Because patients own different joint range of motions (ROM), an analysis method for obtaining human joint motions is proposed to guarantee the patient's joint safety in this training method. The analysis method is based on a five-bar linkage kinematic model, which includes the human lower limb. The human-robot hybrid kinematic model is analyzed according to the Denavit-Hartenberg (D-H) method, and a variable human-robot workspace based on the user is proposed. Two kinds of trajectory planning methods are introduced. The trajectory planning method and the human joint analysis method are validated through the trajectory tracking experiment of the prototype.
引用
收藏
页数:17
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