[1]穆小奇,张小栋,韩焕杰,等.助老伴行机器人的设计开发[J].机械与电子,2018,(05):62-66.
 MU Xiaoqi,ZHANG Xiaodong,HAN Huanjie,et al.Design of Elderly-Assistant and Walking-Assistant Robot[J].Machinery & Electronics,2018,(05):62-66.
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助老伴行机器人的设计开发
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2018年05期
页码:
62-66
栏目:
智能工程
出版日期:
2018-05-24

文章信息/Info

Title:
Design of Elderly-Assistant and Walking-Assistant Robot
文章编号:
1001-2257(2018)05-0062-05
作者:
穆小奇1张小栋12韩焕杰1王亚宾1
(1.西安交通大学机械工程学院,陕西 西安 710049; 2. 西安交通大学陕西省智能机器人重点实验室,陕西 西安 710049)
Author(s):
MU Xiaoqi1 ZHANG Xiaodong12 HAN Huanjie1 WANG Yabin1
(1.School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China; (2.Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an 710049, China)
关键词:
助老伴行机器人 姿态变换 人机交互控制
Keywords:
elderly-assistant and walking-assistant robot posture transformation human-computer interaction control
分类号:
TP242
文献标志码:
A
摘要:
老龄化的加剧使得社会上体力衰弱、行走不便的老年人数量越来越多,针对老年人群的生活需求设计开发了一台助老伴行机器人。通过对老年人日常生活面临的困境的分析,确立了机器人的主体功能,并以此为基础对机器人进行了总体设计; 在机器人总体设计的基础上,完成了对该机器人的整体结构尺寸设计,以及各功能部件的详细设计; 同时还对结构姿态变换控制系统和基于触觉力的人机交互控制系统进行了设计,采用双电机差速驱动控制方法,实现机器人的前进、后退、转弯等动作。最后,搭建了结构姿态变换和在线行走驱动系统两实验平台,经试验验证,机器人结构姿态变换控制系统和人机交互控制系统满足设计要求,在线行走驱动准确率达到了96.1%,满足使用要求。
Abstract:
The increase of aging has led to a growing number of elderly people who are physically weak and have difficulty in walking. An elderly-assistant and walking-assistant robot is designed in this paper. The major functions of the robot were firstly determined by analyzing daily difficulties the elderly people faced with, based on which, the design of the robot was conducted. Then, more detailed designs on the overall structure, functional units, two control systems for robot's posture transformation and human-computer interaction based on tactile force were studied and conducted. A dual motor differential speed driven control method was adopted to control the robot's posture transformation. Finally, two experimental platforms for posture transformation of the robot's structure and online walking drive system were established. The results of experiments verify that the two proposed control systems can satisfy the design requirements, and the accuracy rate of online walking drive is 96.1%, which can meet the requirements for application.

参考文献/References:

[1]KONG J S, LEE D K, NAM Y S, et al. Optimized walking will recognizing system of the walking aid with the fuzzy algorithm[J]. Korean Institute of Intelligent Systems, 2008(18): 692-699.
[2]YUK G H, PARK H S, DAN B J, et al. Development of smart mobile walker for elderly and disabled[C]// The 22nd IEEE International Symposium on Robot and Human Interactive Communication Gyeongju, Korea,2013: 300-301.
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[8]方芳,周武啸,韦巍,等.助行机器人系统设计[J].传感器与微系统,2010,29(8):120-122.
[9]魏晓娟.助老助行机器人的触滑觉驱动控制技术研究[D].西安:西安交通大学,2012.

备注/Memo

备注/Memo:
收稿日期:2018-02-24
基金项目:2015年陕西省科技统筹创新工程计划资助项目(2015KTZDGY-02-01)
作者简介: 穆小奇(1988-),男,河南商丘人,回族,博士研究生,研究方向为助老伴行机器人技术; 张小栋(1967-),男,陕西周至人,教授,博士研究生导师,研究方向为智能检测、诊断与控制以及智能机器人技术等。
更新日期/Last Update: 2018-05-24