Six-Dimensional Pose Estimation of Molecular Sieve Drying Package Based on Red Green Blue–Depth Camera

Six-Dimensional Pose Estimation of Molecular Sieve Drying Package Based on Red Green Blue–Depth Camera

This paper aims to address the challenge of precise robotic grasping of molecular sieve drying bags during automated packaging by proposing a six-dimensional (6D) pose estimation method based on an red green blue-depth (RGB-D) camera. The method consists of three components: point cloud pre-segmenta...

Full description

Saved in:
Bibliographic Details
Main Authors: Yibing Chen, Songxiao Cao, Qixuan Wang, Zhipeng Xu, Tao Song, Qing Jiang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
three-dimensional object recognition
RGB-D camera
visual guidance
six-dimensional pose estimation
Online Access:https://www.mdpi.com/1424-8220/25/2/462
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items