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用于平行夹爪的触觉传感器:设计与特性。

Tactile Sensors for Parallel Grippers: Design and Characterization.

机构信息

Dipartimento di Ingegneria, Università degli Studi della Campania "Luigi Vanvitelli", Via Roma 29, 81031 Aversa, CE, Italy.

出版信息

Sensors (Basel). 2021 Mar 9;21(5):1915. doi: 10.3390/s21051915.

Abstract

Tactile data perception is of paramount importance in today's robotics applications. This paper describes the latest design of the tactile sensor developed in our laboratory. Both the hardware and firmware concepts are reported in detail in order to allow the research community the sensor reproduction, also according to their needs. The sensor is based on optoelectronic technology and the pad shape can be adapted to various robotics applications. A flat surface, as the one proposed in this paper, can be well exploited if the object sizes are smaller than the pad and/or the shape recognition is needed, while a domed pad can be used to manipulate bigger objects. Compared to the previous version, the novel tactile sensor has a larger sensing area and a more robust electronic, mechanical and software design that yields less noise and higher flexibility. The proposed design exploits standard PCB manufacturing processes and advanced but now commercial 3D printing processes for the realization of all components. A GitHub repository has been prepared with all files needed to allow the reproduction of the sensor for the interested reader. The whole sensor has been tested with a maximum load equal to 15N, by showing a sensitivity equal to 0.018V/N. Moreover, a complete and detailed characterization for the single taxel and the whole pad is reported to show the potentialities of the sensor also in terms of response time, repeatability, hysteresis and signal to noise ratio.

摘要

触觉数据感知在当今的机器人应用中至关重要。本文描述了我们实验室开发的触觉传感器的最新设计。为了允许研究社区根据他们的需求复制传感器,本文详细介绍了硬件和固件概念。该传感器基于光电技术,并且可以根据各种机器人应用来调整传感器的垫形状。如果物体尺寸小于垫且/或需要形状识别,则可以很好地利用本文提出的这种平面垫,而球形垫则可用于操纵更大的物体。与上一代相比,新型触觉传感器具有更大的感应面积,以及更稳健的电子、机械和软件设计,从而产生更少的噪声和更高的灵活性。该设计利用标准的 PCB 制造工艺和先进但现已商业化的 3D 打印工艺来实现所有组件。我们准备了一个 GitHub 存储库,其中包含所有文件,以供有兴趣的读者复制传感器。整个传感器已经通过 15N 的最大负载进行了测试,其灵敏度等于 0.018V/N。此外,还对单个微单元和整个传感器垫进行了全面和详细的特性描述,以展示传感器在响应时间、重复性、滞后和信噪比方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12d3/7967162/b0f82c759e9d/sensors-21-01915-g001.jpg

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