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Real-time curvature estimation of printable soft gripper using electro-conductive yarn

机译:利用导电纱实时估计可印刷软爪的曲率

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摘要

Automatic handling of many types of food materials are required to realize the automation of production of commercially prepared box lunches. A printable soft gripper was developed for food handling which is simple to produce with a 3D printer. However, the sensing ability of the printable soft gripper was not discussed in previous research. In this paper, a novel method for estimating the curvature of a printable soft gripper using electro-conductive yarn is presented. Electro-conductive yarn is a conductive material, and the resistance of strings is changed by stretching. It is less expensive than other sensors that can be used for curvature measurement. Additionally, it is easy to assemble and disassemble by hand. Electro-conductive yarn is applied to a prototype printable soft gripper, and the proposed estimation method is verified experimentally. From the experimental results, the estimated curvature from the resistance of the electro-conductive yarn coincide with the actual curvature of the gripper. Our proposed method of using electro-conductive yarn was successful for estimating the curvature of a printable soft gripper.
机译:需要自动处理多种类型的食物材料,以实现商业上准备的盒装午餐的自动化生产。开发了一种可打印的软夹持器,用于食品处理,使用3D打印机即可轻松生产。但是,在以前的研究中没有讨论可印刷的软爪的感测能力。在本文中,提出了一种使用导电纱线估算可印刷软夹持器曲率的新颖方法。导电纱是导电材料,并且线的电阻通过拉伸而改变。它比可用于曲率测量的其他传感器便宜。另外,易于手工组装和拆卸。将导电纱应用于可印刷的原型软夹持器,并通过实验验证了所提出的估算方法。根据实验结果,由导电纱线的电阻估算出的曲率与夹持器的实际曲率一致。我们提出的使用导电纱的方法成功地估计了可印刷的柔软夹持器的曲率。

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