Research and Application of Binocular Vision Sensors in Industrial Robot Positioning

With the advancement of artificial intelligence and computer information technology, computer vision has been extensively applied across various fields, including industry, agriculture, and healthcare. In automated production processes, the accuracy of industrial robot manipulators in grasping workpieces is a crucial factor in enhancing production efficiency. This study focuses on the positioning technology of industrial robot manipulators, using a specific automotive part as the research subject. Binocular vision sensors are employed for target positioning, and MA TLAB software is utilized for computational processing. This approach aims to achieve precise grasping of parts, which is of significant importance for improving automation in industrial production.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/isrimt63979.2024.10875216
Citations
1
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.21
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Research and Application of Binocular Vision Sensors in Industrial Robot Positioning

Libin Hou, Cheng Rui, Qingyang Xiao, Jing Li et al.
1 citations
Advanced Measurement and Detection Methods
0.21
article

Research and Application of Binocular Vision Sensors in Industrial Robot Positioning

Libin Hou, Cheng Rui, Qingyang Xiao, Jing Li, Boyu Ma
article en
1 citations

Abstract

With the advancement of artificial intelligence and computer information technology, computer vision has been extensively applied across various fields, including industry, agriculture, and healthcare. In automated production processes, the accuracy of industrial robot manipulators in grasping workpieces is a crucial factor in enhancing production efficiency. This study focuses on the positioning technology of industrial robot manipulators, using a specific automotive part as the research subject. Binocular vision sensors are employed for target positioning, and MA TLAB software is utilized for computational processing. This approach aims to achieve precise grasping of parts, which is of significant importance for improving automation in industrial production.

Dalian University of Technology (CN)
Openalex Percentile: Top 44%
Advanced Measurement and Detection Methods
0.21
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