Title
Industry 4.0, intelligent visual assisted picking approach
Date Issued
01 January 2018
Access level
metadata only access
Resource Type
conference paper
Author(s)
Universidad Nacional Abierta y a Distancia
Publisher(s)
Springer Verlag
Abstract
This work deals with a novel intelligent visual assisted picking task approach, for industrial manipulator robot. Intelligent searching object algorithm, around the working area, by RANSAC approach is proposed. After that, the image analysis uses the Sobel operator, to detect the objects configurations; and finally, the motion planning approach by Screw theory on SO(3), allows to pick up the selected object to move it, to a target place. Results and whole approach validation are discussed.
Start page
205
End page
214
Volume
11308 LNAI
Language
English
OCDE Knowledge area
Ingeniería industrial
Robótica, Control automático
Subjects
Scopus EID
2-s2.0-85059081307
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Resource of which it is part
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
ISBN of the container
978-303005917-0
Conference
6th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2018
Sponsor(s)
Supported by UNAD, Convocatoria 007.
Sources of information:
Directorio de Producción Científica
Scopus