A Lightweight Assembly Part Identification and Positioning Method From a Robotic Arm Perspective

A Lightweight Assembly Part Identification and Positioning Method From a Robotic Arm Perspective

To address the problems of low precision and poor real-time performance in the process of part identification and positioning of production line assembly robotic arm, Ghost-SE YOLOv5, an assembly part identification and positioning algorithm integrating lightweight network and attention mechanism is...

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Bibliographic Details
Main Authors: Ligang Wu, Le Chen, Qian Zhou, Jianhua Shi, Mingming Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep learning
lightweight
attention mechanisms
machine vision
real-time detection
Online Access:https://ieeexplore.ieee.org/document/10258278/

Internet

https://ieeexplore.ieee.org/document/10258278/

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