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带有钝化层的印刷软传感器,用于检测机器人夹具的物体滑动。

Printed Soft Sensor with Passivation Layers for the Detection of Object Slippage by a Robotic Gripper.

作者信息

Miura Reo, Sekine Tomohito, Wang Yi-Fei, Hong Jinseo, Watanabe Yushi, Ito Keita, Shouji Yoshinori, Takeda Yasunori, Kumaki Daisuke, Santos Fabrice Domingues Dos, Miyabo Atsushi, Tokito Shizuo

机构信息

Research Center for Organic Electronics (ROEL), Graduate School of Science and Engineering, Yamagata University, 3-4-16, Jonan, Yonezawa, Yamagata 992-8510, Japan.

Piezotech S. A. S., Arkema-CRRA, Rue Henri Moissan, 63493 Pierre-Benite Cedex, France.

出版信息

Micromachines (Basel). 2020 Oct 8;11(10):927. doi: 10.3390/mi11100927.

Abstract

Tactile sensing, particularly the detection of object slippage, is required for skillful object handling by robotic grippers. The real-time measurement and identification of the dynamic shear forces that result from slippage events are crucial for slip detection and effective object interaction. In this study, a ferroelectric polymer-based printed soft sensor for object slippage detection was developed and fabricated by screen printing. The proposed sensor demonstrated a sensitivity of 8.2 μC·cm and was responsive to shear forces applied in both the parallel and perpendicular directions. An amplifier circuit, based on a printed organic thin-film transistor, was applied and achieved a high sensitivity of 0.1 cm/V·s. Therefore, this study experimentally demonstrates the effectiveness of the proposed printable high-sensitivity tactile sensor, which could serve as part of a wearable robotic e-skin. The sensor could facilitate the production of a system to detect and prevent the slippage of objects from robotic grippers.

摘要

触觉感知,尤其是对物体滑动的检测,是机器人夹具熟练操作物体所必需的。对由滑动事件产生的动态剪切力进行实时测量和识别对于滑动检测和有效的物体交互至关重要。在本研究中,通过丝网印刷开发并制造了一种基于铁电聚合物的用于物体滑动检测的印刷软传感器。所提出的传感器灵敏度为8.2 μC·cm,对平行和垂直方向施加的剪切力均有响应。应用了基于印刷有机薄膜晶体管的放大电路,实现了0.1 cm/V·s的高灵敏度。因此,本研究通过实验证明了所提出的可印刷高灵敏度触觉传感器的有效性,该传感器可作为可穿戴机器人电子皮肤的一部分。该传感器有助于生产一种检测和防止物体从机器人夹具上滑落的系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8587/7599578/507647b83f57/micromachines-11-00927-g001.jpg

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