基于知识地图的工业机器人研究现状及发展趋势分析

Lanping Li, Yu Zhao, Yuzhe Xu
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引用次数: 0

摘要

近年来,工业机器人研究领域的文献大量增加,但这些文献并没有得到系统、定量的总结。本文以科学知识图谱为基础,以中国知网(CNKI)数据库和Web of Science (WOS)核心数据库1990-2022年工业机器人相关文献为数据库,利用CiteSpace文献可视化软件对提取的文献进行国家、机构、关键词等分析,从而得到相应的可视化知识图谱。通过对可视化知识图谱的解读,工业机器人研究领域的研究人员可以对该领域的研究历史、研究现状、发展趋势等有更全面、宏观的把握。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Research Status and Development Trend of Industrial Robot Based on Knowledge Map
In recent years, the literature in the field of industrial robot research has increased significantly, but these literatures have not been systematically and quantitatively summarized. Based on the scientific knowledge map, this paper uses China National Knowledge Infrastructure (CNKI) database and Web of Science (WOS) core database 1990-2022 industrial robot related literature as the data base, and uses CiteSpace literature visualization software to analyze the countries, institutions, keywords, etc. of the extracted literature, so as to obtain the corresponding visual knowledge map. Through the interpretation of the visual knowledge map, researchers in the field of industrial robot research can have a more overall and macro grasp of the research history, research status, development trend, etc. in this field.
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