| 注册
首页|期刊导航|机电工程技术|基于人工智能的外骨骼机器人应用

基于人工智能的外骨骼机器人应用

韦良民 杨澳祥 毛喆 李慰 刘敏 王春宝 姜炳春 王亚阁

机电工程技术2025,Vol.54Issue(13):8-15,8.
机电工程技术2025,Vol.54Issue(13):8-15,8.DOI:10.3969/j.issn.1009-9492.2024.00179

基于人工智能的外骨骼机器人应用

Application of Artificial Intelligence-based Exoskeleton Robots

韦良民 1杨澳祥 1毛喆 1李慰 1刘敏 1王春宝 2姜炳春 3王亚阁3

作者信息

  • 1. 广西科技大学机械与汽车工程学院,广西 柳州 545006
  • 2. 广西科技大学机械与汽车工程学院,广西 柳州 545006||广东科技学院机电工程学院,广东 东莞 523808||澳门中西创新学院数字科技研究院,澳门 999078||广东铭凯医疗机器人有限公司,广东 珠海 519075
  • 3. 广东科技学院机电工程学院,广东 东莞 523808||澳门中西创新学院数字科技研究院,澳门 999078
  • 折叠

摘要

Abstract

In recent years,there is an increasing number of experimental studies on the design of innovative tools and methods to apply artificial intelligence to the design of exoskeleton robots.The potential advantage of these innovative tools and methods is that they can use artificial intelligence technology for robot control and data analysis,so as to provide customized feedback and guidance for personalized rehabilitation treatment.In order to understand the application of artificial intelligence in exoskeleton robots,the key difficulties to be paid attention to in the design of exoskeleton robots are summarized according to the development of exoskeleton robots,that is,the key technologies that need to be used in the design.Through the analysis of these key technologies,it describes how artificial intelligence can be integrated into exoskeleton robots with new tools and methods.At the same time,it is also pointed out that the future exoskeleton robot will make significant progress in lightweight,multi-functional integration,remote rehabilitation and intelligence,which provides a certain reference for artificial intelligence to be better introduced into the development of exoskeleton robots in the future.

关键词

人工智能/外骨骼机器人/人机交互/关键技术

Key words

artificial intelligence/exoskeleton robots/human-machine interaction/key technologies

分类

信息技术与安全科学

引用本文复制引用

韦良民,杨澳祥,毛喆,李慰,刘敏,王春宝,姜炳春,王亚阁..基于人工智能的外骨骼机器人应用[J].机电工程技术,2025,54(13):8-15,8.

基金项目

广东省基础与应用基础研究基金项目(2023A1515140026) (2023A1515140026)

广东省普通高校重点领域专项(2024ZDZX2083) (2024ZDZX2083)

深圳市科技计划项目(JCYJ20210324122200002) (JCYJ20210324122200002)

机电工程技术

1009-9492

访问量1
|
下载量0
段落导航相关论文