Knowledge Commons of Institute of Automation,CAS
Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review | |
Dezhen Xiong; Daohui Zhang; Yaqi Chu; Yiwen Zhao; Xingang Zhao | |
发表期刊 | IEEE/CAA Journal of Automatica Sinica |
ISSN | 2329-9266 |
2024 | |
卷号 | 11期号:5页码:1075-1091 |
摘要 | A long history has passed since electromyography (EMG) signals have been explored in human-centered robots for intuitive interaction. However, it still has a gap between scientific research and real-life applications. Previous studies mainly focused on EMG decoding algorithms, leaving a dynamic relationship between the human, robot, and uncertain environment in real-life scenarios seldomly concerned. To fill this gap, this paper presents a comprehensive review of EMG-based techniques in human-robot-environment interaction (HREI) systems. The general processing framework is summarized, and three interaction paradigms, including direct control, sensory feedback, and partial autonomous control, are introduced. EMG-based intention decoding is treated as a module of the proposed paradigms. Five key issues involving precision, stability, user attention, compliance, and environmental awareness in this field are discussed. Several important directions, including EMG decomposition, robust algorithms, HREI dataset, proprioception feedback, reinforcement learning, and embodied intelligence, are proposed to pave the way for future research. To the best of what we know, this is the first time that a review of EMG-based methods in the HREI system is summarized. It provides a novel and broader perspective to improve the practicability of current myoelectric interaction systems, in which factors in human-robot interaction, robot-environment interaction, and state perception by human sensations are considered, which has never been done by previous studies. |
关键词 | Electromyography human-robot-environment interaction (HREI) human-robot interaction (HRI) semiautonomous sensory feedback |
DOI | 10.1109/JAS.2024.124329 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/55700 |
专题 | 学术期刊_IEEE/CAA Journal of Automatica Sinica |
推荐引用方式 GB/T 7714 | Dezhen Xiong,Daohui Zhang,Yaqi Chu,et al. Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(5):1075-1091. |
APA | Dezhen Xiong,Daohui Zhang,Yaqi Chu,Yiwen Zhao,&Xingang Zhao.(2024).Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review.IEEE/CAA Journal of Automatica Sinica,11(5),1075-1091. |
MLA | Dezhen Xiong,et al."Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review".IEEE/CAA Journal of Automatica Sinica 11.5(2024):1075-1091. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
JAS-2024-0024.pdf(5061KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论