| 引用本文: | 赵立铭,孙中波.仿生假手机构设计与控制方法研究进展[J].控制理论与应用,2025,42(10):1885~1893.[点击复制] |
| ZHAO Li-ming,SUN Zhong-bo.Review for structure design and control method of bionic prosthesis hand[J].Control Theory & Applications,2025,42(10):1885~1893.[点击复制] |
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| 仿生假手机构设计与控制方法研究进展 |
| Review for structure design and control method of bionic prosthesis hand |
| 摘要点击 331 全文点击 54 投稿时间:2023-11-19 修订日期:2025-03-21 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2019.90311 |
| 2025,42(10):1885-1893 |
| 中文关键词 仿生假手 假手结构设计 非理想因素 运动意图识别 控制策略 |
| 英文关键词 bionicprosthesis hand prosthesis hand structure design non-ideal conditions motion intention recognition control strategy |
| 基金项目 国家自然科学基金项目(62373065,62173048,62106023, 61873304), 吉林省科技发展计划项目(20230204081YY), 长春市科技计划项目(21ZY41) 资助. |
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| 中文摘要 |
| 针对仿生假手的机构设计、意图识别和人机交互控制算法的国内外研究现状与发展趋势.首先,基于驱动
器安装位置,介绍仿生假手机械机构的发展现状;其次,基于电极偏移、肌肉疲劳和个体差异等非理想因素讨论运
动意图识别模型的研究方法,分析基于多源信号的意图识别方法优点与不足之处;再次,研究仿生假手系统人机交
互控制算法,阐明各类算法的优缺点;最后,给出了仿生假手研究的难点问题和未来工作计划,基于多源信号融合与
感知,展望仿生假手机械机构、手部主动运动意图识别和人机交互控制算法的研究思路. |
| 英文摘要 |
| The research status and development trend are investigated for the bionic prosthesis hand mechanism design,
intention recognition and human-robot interaction control algorithm. In the first place, the development status for the
mechanical structure of bionic prosthesis hand is introduced, which is based on the installation position of drive systems.
Besides, on account of different non-ideal conditions such as electrode deviation, muscle fatigue and individual difference,
the methods for motion intention recognition model which based on multi-source signals, the shortcomings and excellences
of the existing approaches are discussed. Furthermore, the advantages and disadvantages for the control algorithms are
verified through discussing the human-robot interaction controller of bionic prosthesis hand. Eventually, we propose the
difficult problems and future outlooks for bionic prosthesis hand. Moreover, the expectation ideas are given for the bionic
prosthesis hand mechanical structure, hand active movement intention, and human-machine interaction controller which
are combined with multi-source signal fusion and sensing. |
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