A Novel Deep Learning-Based Pose Estimation Method for Robotic Grasping of Axisymmetric Bodies in Industrial Stacked Scenarios

A Novel Deep Learning-Based Pose Estimation Method for Robotic Grasping of Axisymmetric Bodies in Industrial Stacked Scenarios

A vision-based intelligent robotic grasping system is essential for realizing unmanned operations in industrial manufacturing, and pose estimation plays an import role in this system. In this study, deep learning was used to obtain the 6D pose of an axisymmetric body which was optimal for robotic gr...

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Bibliographic Details
Main Authors: Yaowei Li, Fei Guo, Miaotian Zhang, Shuangfu Suo, Qi An, Jinlin Li, Yang Wang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Machines
Subjects:
6D object pose estimation
multitask CNN
real-time CNN
robotic grasping
industrial stacked scenarios
Online Access:https://www.mdpi.com/2075-1702/10/12/1141

Internet

https://www.mdpi.com/2075-1702/10/12/1141

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