A novel fall prevention scheme for intelligent cane robot by using a motor driven universal joint

P. Di, Jian Huang, K. Sekiyama, T. Fukuda
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引用次数: 24

Abstract

In this study, we propose a novel fall prevention scheme for an omni-direction type cane robot by using a DC motor driven universal joint. The cane robot which is driven by three omni-wheels is called Intelligent Cane Robot (iCane). It is designed for aiding the elderly and handicapped people walking as shown in Fig.1. The motion of cane robot is controlled for both normal and abnormal walking conditions. The user's normal walking aided by the cane robot, a concept called “Intentional Direction (ITD)” is proposed. Guided by the online estimated ITD, we apply the admittance control method in the motion control of cane robot. For the abnormal walking, we mainly studied the case of user's fall down. The center of gravity (COG) of user can be estimated from the angle of an inverted pendulum which represents human dynamic model. Fall prevention algorithm based on the relationship between user's COG and the cane is proposed. Because the size of the cane robot is small, when the robot is preventing the user falling down, firstly, the stability of the cane robot should be ensured. A universal joint which is driven by two DC motors is used to reduce the moment causing the cane robot falling over. The proposed method is verified through experiments.
一种基于电机驱动万向节的智能手杖机器人防摔方案
在这项研究中,我们提出了一种基于直流电机驱动万向节的全向型手杖机器人防摔方案。由三个全轮驱动的手杖机器人被称为智能手杖机器人(iCane)。它是为帮助老年人和残疾人行走而设计的,如图1所示。手杖机器人在正常和异常行走条件下的运动控制。通过拐杖机器人辅助用户的正常行走,提出了一个名为“意向方向(ITD)”的概念。以在线估计过渡段为指导,将导纳控制方法应用于手杖机器人的运动控制。对于异常行走,我们主要研究用户摔倒的情况。用倒立摆的角度可以估计出使用者的重心,倒立摆代表人体动力学模型。提出了基于用户COG与手杖关系的防摔算法。由于手杖机器人的体积较小,当机器人在防止使用者摔倒时,首先要保证手杖机器人的稳定性。采用由两个直流电动机驱动的万向节来减小导致手杖机器人摔倒的力矩。通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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