A systematic automated grasping approach for automatic manipulation of fabric with soft robot grippers

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL Industrial Robot-The International Journal of Robotics Research and Application Pub Date : 2023-02-06 DOI:10.1108/ir-07-2022-0173
Yuqi Liu, Junqiang Su, Xinyu Li, Guoqing Jin
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引用次数: 2

Abstract

Purpose The garment industry will be one of the major beneficiaries of advances in smart manufacturing, as it is highly labor-intensive and heavily depends on labor force. Manipulating robots in human environments has made great strides in recent years. However, the main research has focused on rigid, solid objects and core capabilities such as grasping, placing remain a challenging problem when dealing with soft textiles. The experimental results indicate that adopting the proposed bionic soft finger will provide garment manufacturers with smart manufacturing capabilities. Then, the purpose of this paper is to utilize the flexibility of the soft finger to transfer fabric layer by layer without damage in garment automation. Design/methodology/approach In this paper, a new way to separate layer by layer pieces of fabric has been inspired by the rise of soft robotics and their applications in automation. Fabric gripping is accomplished by wiping deformation and pinching the fabric. A single fabric piece is separated from cutting pile by the soft finger in four steps: making an arch by pressing, wiping deformation, grasping and separating, and placing. Findings The case study demonstrated that the soft finger arrangement for automated grasping of fabric pieces of a garment can be successfully applied to delicate fabric. A combination of cloth shape and weight determines the number of soft fingers. In addition, the soft finger was tested on different types of fabrics to determine its performance and application capabilities. The technology may be used to produce clothing intelligently in the future, such as intelligent stacking, intelligent transportation and intelligent packaging, to increase clothing industry productivity. Originality/value An industrial bionic soft finger gripping system is proposed in this paper for application in the field of fabric automatic manipulation. A piece of fabric could be picked up and released layer by layer from a stack by the proposed gripper without creating any damage to it. Soft grippers have the right proportion of softness and rigidity like a human being. A soft finger has a potential affinity for soft materials such as fabrics without damaging either their surface or their properties.
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一种基于柔性机械手的织物自动抓取方法
服装行业是劳动密集型行业,对劳动力的依赖程度较高,将成为智能制造发展的主要受益者之一。近年来,在人类环境中操纵机器人取得了巨大的进步。然而,主要的研究集中在刚性、固体物体和核心能力,如抓取、放置,在处理软纺织品时仍然是一个具有挑战性的问题。实验结果表明,采用仿生软手指将为服装制造商提供智能制造能力。然后,本文的目的是在服装自动化中,利用柔软手指的柔韧性,在不损坏的情况下,对织物进行分层转移。设计/方法/方法在这篇论文中,受到软机器人技术的兴起及其在自动化中的应用的启发,提出了一种逐层分离织物的新方法。织物夹持是通过擦拭变形和夹紧织物来完成的。单片织物与剪桩通过软指分离,分压成拱、擦拭变形、抓合分离、放置四个步骤。研究结果表明,柔性手指自动抓取服装织物片的方法可以成功地应用于精细织物。布料的形状和重量的结合决定了柔软手指的数量。此外,还在不同类型的织物上测试了软手指,以确定其性能和应用能力。未来,该技术可用于服装的智能化生产,如智能堆叠、智能运输、智能包装等,提高服装行业的生产力。提出了一种工业仿生软手指抓握系统,并将其应用于织物自动操纵领域。这种夹具可以将一块织物一层一层地从一堆织物中取出并释放出来,而不会对织物造成任何损坏。柔软的抓手有合适的比例的柔软和刚性像一个人。柔软的手指对柔软的材料(如织物)具有潜在的亲和力,而不会损坏其表面或其性能。
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
审稿时长
5.7 months
期刊介绍: Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.
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