Robotic arm target detection algorithm combined with deep learning

Robotic arm target detection algorithm combined with deep learning

Existing target detection algorithms deployed on robotic arms would occupy a large amount of system resources, have poor real-time detection performance, and have a large number of model parameters. To address these problems, an improved YOLOv5 target detection algorithm was proposed. First, the Shf...

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Bibliographic Details
Main Authors: ZHANG Lei, ZHANG Wang, YUAN Yuan
Format: Article
Language:zho
Published: Editorial Office of Journal of XPU 2024-12-01
Series:Xi'an Gongcheng Daxue xuebao
Subjects:
robotic arm
object detection
yolov5
attention
loss function
Online Access:http://journal.xpu.edu.cn/en/#/digest?ArticleID=1519
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