Electrotactile Feedback-based Muscle Fatigue Alleviation for Hand Manipulation

IF 0.9 4区计算机科学 Q4 ROBOTICS

International Journal of Humanoid Robotics Pub Date : 2021-08-01 DOI:10.1142/s0219843621920018

Kairu Li,Yu Zhou,Dalin Zhou,Jia Zeng,Yinfeng Fang,Junyou Yang,Honghai Liu

引用次数: 0

查看原文本刊更多论文

基于电触觉反馈的手部操作肌肉疲劳缓解

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Humanoid Robotics 工程技术-机器人学

CiteScore

3.50

自引率

13.30%

发文量

审稿时长

6 months

期刊介绍： The International Journal of Humanoid Robotics (IJHR) covers all subjects on the mind and body of humanoid robots. It is dedicated to advancing new theories, new techniques, and new implementations contributing to the successful achievement of future robots which not only imitate human beings, but also serve human beings. While IJHR encourages the contribution of original papers which are solidly grounded on proven theories or experimental procedures, the journal also encourages the contribution of innovative papers which venture into the new, frontier areas in robotics. Such papers need not necessarily demonstrate, in the early stages of research and development, the full potential of new findings on a physical or virtual robot. IJHR welcomes original papers in the following categories: Research papers, which disseminate scientific findings contributing to solving technical issues underlying the development of humanoid robots, or biologically-inspired robots, having multiple functionality related to either physical capabilities (i.e. motion) or mental capabilities (i.e. intelligence) Review articles, which describe, in non-technical terms, the latest in basic theories, principles, and algorithmic solutions Short articles (e.g. feature articles and dialogues), which discuss the latest significant achievements and the future trends in robotics R&D Papers on curriculum development in humanoid robot education Book reviews.