A survey on recent trends in robotics and artificial intelligence in the furniture industry

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Andrea Brunello , Giuliano Fabris , Alessandro Gasparetto , Angelo Montanari , Nicola Saccomanno , Lorenzo Scalera
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引用次数: 0

Abstract

In this paper, we present a survey on recent trends in robotics and artificial intelligence in the furniture industry. We first introduce the state-of-the-art applications of traditional and collaborative industrial robots in this field, with a particular focus on finishing, painting, and assembly operations. Then, the main uses of data management and artificial intelligence are described. Finally, we present the case of the International Furniture and Panel Technology Campus of Friuli Venezia Giulia region (Italy), and the results of a questionnaire submitted to ten companies of the furniture sector.
一项关于家具行业机器人和人工智能最新趋势的调查
在本文中,我们对家具行业中机器人和人工智能的最新趋势进行了调查。我们首先介绍了传统和协作工业机器人在这一领域的最新应用,特别关注精加工、喷漆和装配操作。然后,介绍了数据管理和人工智能的主要用途。最后,我们介绍了意大利弗留利威尼斯朱利亚地区国际家具和面板技术园区的案例,以及向家具行业的十家公司提交的问卷调查结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Robotics and Computer-integrated Manufacturing
Robotics and Computer-integrated Manufacturing 工程技术-工程:制造
CiteScore
24.10
自引率
13.50%
发文量
160
审稿时长
50 days
期刊介绍: The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.
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