Towards Quality Control in Soft Actuators by Computer Vision

被引：0

作者：

Navas, Eduardo ^{[1
]}

Fernandez, Roemi ^{[1
]}

Navas-Merlo, Carlos ^{[1
]}

Armada, Manuel ^{[2
]}

Gonzalez-de-Santos, Pablo ^{[1
]}

机构：

[1] CAR CSIC UPM, Ctr Automat & Robot, Madrid, Spain

[2] Univ Valladolid, Dept Teoria Senal & Ingn Telemat, Valladolid, Spain

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC) | 2022年

关键词：

Quality Control; Computer Vision; Soft Actuators; Manufacturing Process;

D O I：

10.1109/ICARSC55462.2022.9784805

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Quality control is a key step in any manufacturing process in the industry. However, it is still an unexplored area in soft robotics, especially in the production of soft actuators. This article proposes a quality control method based on a series of specific tests and analyzes using computer vision to verify the performance of these actuators and identify possible manufacturing defects. Facilitating automation and faster implementation of quality control will help bring this technology closer to industrialization.

引用

页码：142 / 147

页数：6

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