Research progress of automatic grasping methods for garment fabrics

IF 1 4区 工程技术 Q3 MATERIALS SCIENCE, TEXTILES
Jianping Wang, Jinzhu Shen, Xiaofeng Yao, Fan Zhang
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Abstract

Purpose The purpose of this paper is to gain an in-depth understanding into the research progress, hot spots and future trends in smart gripping technology in the field of apparel smart manufacturing. Design/methodology/approach This work scrutinised the current research status of the five automatic grasping methods for garment fabrics including the pneumatic suction grasping, the electrostatic grasping, the intrusive grasping and the dexterous grasping. Specifically, the principles, characteristics, main devices and the impact on garment production were discussed. Findings In particular, soft finger of the dexterous grasping method has good flexibility and adaptability in the process of fabric grasping, which provides a new solution for garment production automation. Up to now, the reviewed method in general exhibit good grasping speed, high grasping stability and flat grasping process. However, in the face of complex fabric materials which are thin and flexible and do not return their original shapes when deformed in practical applications, the gripper for automatic fabric grasping need new technological breakthroughs in the positioning accuracy, grab efficiency and flexible grasping. Originality/value The outcomes offered an overview of the research status and future trends of the automatic grasping methods for garment fabrics in the field of apparel intelligent manufacturing. It could not only provide scholars with convenience in identifying research hot spots and building potential cooperation in the follow-up research but also assist beginners in searching core scholars and literature of great significance.
服装面料自动抓取方法的研究进展
本文旨在深入了解服装智能制造领域智能抓取技术的研究进展、热点和未来趋势。设计/方法/途径本文综述了气动吸力抓取、静电抓取、侵入式抓取和灵巧式抓取五种服装面料自动抓取方法的研究现状。具体论述了其原理、特点、主要装置及对服装生产的影响。特别是灵巧抓取方法的软指在抓取织物过程中具有良好的灵活性和适应性,为服装生产自动化提供了新的解决方案。目前所综述的方法总体上具有抓取速度快、抓取稳定性高、抓取过程平坦等特点。然而,在实际应用中,面对织物材料轻薄柔韧、变形后不能恢复原形的复杂情况,用于织物自动抓取的夹持器需要在定位精度、抓取效率和灵活抓取等方面取得新的技术突破。综述了服装智能制造领域中服装面料自动抓取方法的研究现状和未来发展趋势。它不仅可以为学者在后续研究中发现研究热点和建立潜在合作提供便利,而且可以帮助初学者寻找核心学者和有重要意义的文献。
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来源期刊
CiteScore
2.40
自引率
8.30%
发文量
51
审稿时长
10 months
期刊介绍: Addresses all aspects of the science and technology of clothing-objective measurement techniques, control of fibre and fabric, CAD systems, product testing, sewing, weaving and knitting, inspection systems, drape and finishing, etc. Academic and industrial research findings are published after a stringent review has taken place.
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