6DOF Object Positioning and Grasping Approach for Industrial Robots Based on Boundary Point Cloud Features

6DOF Object Positioning and Grasping Approach for Industrial Robots Based on Boundary Point Cloud Features

For the three-dimensional (3D) pose estimation of metal blank casts estimate in industrial production process, a novel 6-degree-of-freedom (6DOF) positioning and grasping approach for industrial robots based on boundary features and combining structured light 3D vision and the point cloud matching m...

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Bibliographic Details
Main Authors:	Guoyang Wan, Guofeng Wang, Kaisheng Xing, Tinghao Yi, Yunsheng Fan
Format:	Article
Language:	English
Published:	Hindawi Limited 2020-01-01
Series:	Mathematical Problems in Engineering
Online Access:	http://dx.doi.org/10.1155/2020/9279345

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