文章基本信息

标题：A fast parameterized gait planning method for a lower-limb exoskeleton robot
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作者：Hao Ren ; Wanfeng Shang ; Niannian Li 等
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2020
卷号：17
期号：1
页码：1-9
DOI：10.1177/1729881419893221
出版社：SAGE Publications
摘要：In order to meet requirements of diverse activities of exoskeleton robot in practical application, a dynamic motion planning system is proposed using a fast parameterized gait planning method in this article. This method can plan the required gait data by adaptively adjusting very few parameters according to different application requirements. The inverted pendulum model is used to ensure the sagittal stability of the robot in the planning process. And this article specifies the end location of robot and iterates the associated joint angles by inverse kinematics. The gait trajectories generated by the proposed method are applied to the lightweight lower-limb exoskeleton robot. The results demonstrate that the trajectories of gait can be online generated smoothly and correctly, meanwhile every variable step can be satisfied as expected.
关键词：Lower-limb exoskeleton robot; parameterized gait planning; inverted pendulum model
其他关键词：Lower-limb exoskeleton robot ; parameterized gait planning ; inverted pendulum model