Industrial Robotics Platform for Simulation Design, Planning and Optimization based on Off-line CAD Programming
This paper presents IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform which we developed based on SolidWorks API. The main objective is to integrate features from mechanical and robotics CAD software into the same platform in order to facilitate the development process...
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2016-01-01
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Series: | MATEC Web of Conferences |
Online Access: | http://dx.doi.org/10.1051/matecconf/20166803002 |
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doaj-56befe181f0342409a3259b31278e02d2021-03-02T10:40:13ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01680300210.1051/matecconf/20166803002matecconf_iciea2016_03002Industrial Robotics Platform for Simulation Design, Planning and Optimization based on Off-line CAD ProgrammingBaizid KhelifaMeddahi Amal0Yousnadj Ali1Ćuković Saša2Chellali Ryad3DIEI, University of Cassino and Southern LazioDGRSDT, Advanced Technology Development CenterFE, University of KragujevacCEECS, Nanjing Robotics InstituteThis paper presents IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform which we developed based on SolidWorks API. The main objective is to integrate features from mechanical and robotics CAD software into the same platform in order to facilitate the development process through a friendly interaction interface. The platform provides important steps to develop a given robotized task such as: defining a given task, CAD learning of the end-effectors’ trajectory, checking the manipulator’s reach-ability to perform a task, simulating the motion and preventing the trajectory from possible collisions. To assess the usability of the proposed platform, a car’s doors painting task using a 6 Degree Of Freedom industrial manipulator has been developed.http://dx.doi.org/10.1051/matecconf/20166803002 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Baizid Khelifa Meddahi Amal Yousnadj Ali Ćuković Saša Chellali Ryad |
spellingShingle |
Baizid Khelifa Meddahi Amal Yousnadj Ali Ćuković Saša Chellali Ryad Industrial Robotics Platform for Simulation Design, Planning and Optimization based on Off-line CAD Programming MATEC Web of Conferences |
author_facet |
Baizid Khelifa Meddahi Amal Yousnadj Ali Ćuković Saša Chellali Ryad |
author_sort |
Baizid Khelifa |
title |
Industrial Robotics Platform for Simulation Design, Planning and Optimization based on Off-line CAD Programming |
title_short |
Industrial Robotics Platform for Simulation Design, Planning and Optimization based on Off-line CAD Programming |
title_full |
Industrial Robotics Platform for Simulation Design, Planning and Optimization based on Off-line CAD Programming |
title_fullStr |
Industrial Robotics Platform for Simulation Design, Planning and Optimization based on Off-line CAD Programming |
title_full_unstemmed |
Industrial Robotics Platform for Simulation Design, Planning and Optimization based on Off-line CAD Programming |
title_sort |
industrial robotics platform for simulation design, planning and optimization based on off-line cad programming |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2016-01-01 |
description |
This paper presents IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform which we developed based on SolidWorks API. The main objective is to integrate features from mechanical and robotics CAD software into the same platform in order to facilitate the development process through a friendly interaction interface. The platform provides important steps to develop a given robotized task such as: defining a given task, CAD learning of the end-effectors’ trajectory, checking the manipulator’s reach-ability to perform a task, simulating the motion and preventing the trajectory from possible collisions. To assess the usability of the proposed platform, a car’s doors painting task using a 6 Degree Of Freedom industrial manipulator has been developed. |
url |
http://dx.doi.org/10.1051/matecconf/20166803002 |
work_keys_str_mv |
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1724236410655866880 |