Target Detection and Robotic Arm Grasp Pose Estimation Based on YOLOv5 and Transfer Learning

Target Detection and Robotic Arm Grasp Pose Estimation Based on YOLOv5 and Transfer Learning

For traditional machine learning algorithms, visual recognition algorithms have low recognition accuracy and slow running time. This research studies the scene of the robot doing housework in the family scene, and uses the RGB image information as input to complete the grasping pose estimation of th...

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Bibliographic Details
Main Authors: Li Wanyan, Ruan Guanqiang, Zhang Zhendong
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2024-03-01
Series:Jixie chuandong
Subjects:
YOLOv5s
Robotic arm
Pose estimation
Target detection
Transfer learning
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2024.03.023
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