Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > AdaptPack Studio: an automated intelligent framework for offline factory programming
Publication

Publications

AdaptPack Studio: an automated intelligent framework for offline factory programming

Title
AdaptPack Studio: an automated intelligent framework for offline factory programming
Type
Article in International Scientific Journal
Year
2020
Authors
Castro, AL
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
de Souza, JPC
(Author)
FEUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page Without ORCID
Silva, MF
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. View Authenticus page Without ORCID
Journal
Title: Industrial RobotImported from Authenticus Search for Journal Publications
Vol. 47
Pages: 697-704
ISSN: 0143-991X
Publisher: Emerald
Other information
Authenticus ID: P-00S-E94
Abstract (EN): Purpose This paper aims to propose an automated framework for agile development and simulation of robotic palletizing cells. An automatic offline programming tool, for a variety of robot brands, is also introduced. Design/methodology/approach This framework, named AdaptPack Studio, offers a custom-built library to assemble virtual models of palletizing cells, quick connect these models by drag and drop, and perform offline programming of robots and factory equipment in short steps. Findings Simulation and real tests performed showed an improvement in the design, development and operation of robotic palletizing systems. The AdaptPack Studio software was tested and evaluated in a pure simulation case and in a real-world scenario. Results have shown to be concise and accurate, with minor model displacement inaccuracies because of differences between the virtual and real models. Research limitations/implications An intuitive drag and drop layout modeling accelerates the design and setup of robotic palletizing cells and automatic offline generation of robot programs. Furthermore, A* based algorithms generate collision-free trajectories, discretized both in the robot joints space and in the Cartesian space. As a consequence, industrial solutions are available for production in record time, increasing the competitiveness of companies using this tool. Originality/value The AdaptPack Studio framework includes, on a single package, the possibility to program, simulate and generate the robot code for four different brands of robots. Furthermore, the application is tailored for palletizing applications and specifically includes the components (Building Blocks) of a particular company, which allows a very fast development of new solutions. Furthermore, with the inclusion of the Trajectory Planner, it is possible to automatically develop robot trajectories without collisions.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 8
Documents
We could not find any documents associated to the publication.
Related Publications

Of the same authors

AdaptPack studio translator: translating offline programming to real palletizing robots (2020)
Article in International Scientific Journal
de Souza, JPC; Castro, AL; Rocha, LF; Silva, MF

Of the same journal

Underwater localization and mapping: observability analysis and experimental results (2014)
Article in International Scientific Journal
Mohammadreza Bayat; Pedro P Aguiar
Robust mobile robot localization based on a security laser: an industry case study (2016)
Article in International Scientific Journal
Sobreira, H; António Paulo Moreira; Paulo Gomes da Costa; Lima, J
Programming-by-demonstration in the coworker scenario for SMEs (2009)
Article in International Scientific Journal
Pires, JN; Germano Veiga; Araujo, R
Path planning towards non-compulsory multiple targets using TWIN-RRT (2016)
Article in International Scientific Journal
Jorge Lino; Nino Pereira; Fernando Ribeiro; Gil Lopes; Daniel Whitney
Optimal automatic path planner and design for high redundancy robotic systems (2020)
Article in International Scientific Journal
Tavares, P; Marques, D; Malaca, P; Germano Veiga; Pedro Luís Cerqueira Gomes da Costa; António Paulo Moreira

See all (16)

Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-07-18 at 19:07:30 | Privacy Policy | Personal Data Protection Policy | Whistleblowing