典型文献
Application of Optimal-Jerk Trajectory Planning in Gait-balance Training Robot
文献摘要：
To accommodate the gait and balance disorder of the elderly with age progression and the occurrence of various senile diseases,this paper proposes a novel gait balance training robot(G-Balance)based on a six degree-of-freedom parallel platform.Using the platform movement and IMU wearable sensors,two training modes,i.e.,active and pas-sive,are developed to achieve vestibular stimulation.Virtual reality technology is applied to achieve visual stimula-tion.In the active training mode,the elderly actively exercises to control the posture change of the platform and the switching of the virtual scene.In the passive training mode,the platform movement is combined with the virtual scene to simulate bumpy environments,such as earthquakes,to enhance the human anti-interference ability.To achieve a smooth switching of the scene,continuous speed and acceleration of the platform motion are required in some scenarios,in which a trajectory planning algorithm is applied.This paper describes the application of the trajec-tory planning algorithm in the balance training mode and the optimization of jerk(differential of acceleration)based on cubic spline planning,which can reduce impact on the joint and enhance stability.
文献关键词：
中图分类号：
作者姓名：
Fu Yuan;Diansheng Chen;Chenghang Pan;Jun Du;Xiaodong Wei;Min Wang
作者机构：
Robotics Institute,Mechanical Engineering and Automation,Beihang University,Beijing 100191,China
文献出处：
引用格式：
[1]Fu Yuan;Diansheng Chen;Chenghang Pan;Jun Du;Xiaodong Wei;Min Wang-.Application of Optimal-Jerk Trajectory Planning in Gait-balance Training Robot)[J].中国机械工程学报,2022(01):50-61
A类：
bumpy
B类：
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AB值：
0.568015
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