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Sobre
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Sobre

João Pedro Carvalho de Souza é graduado em Engenharia Elétrica com Habilitação em Sistemas Eletrônicos pela Universidade Federal de Juiz de Fora (2015) e possui Mestrado em Engenharia Elétrica - Sistemas de Energia - pela mesma instituição (2018). Durante sua carreira trabalhou em atividades de investigação e desenvolvimento no Brasil (I&D) relacionadas as suas áreas de interesse: robótica, ROS, veículos aéreos não tripulados, desenvolvimento de softwares e firmwares, inteligência artificial e sistemas inteligentes. Atuou também em projetos eletrônicos no âmbito de sistemas embarcados e eletrônica digital. Atualmente, trabalha como investigador associado ao laboratório CRISS - Centro de Robótica Industrial e Sistemas Inteligentes - INESCTEC.

 


 

 

Tópicos
de interesse
Detalhes

Detalhes

002
Publicações

2020

AdaptPack Studio: an automated intelligent framework for offline factory programming

Autores
Castro, AL; Carvalho de Souza, JP; Rocha, LF; Silva, MF;

Publicação
Industrial Robot: the international journal of robotics research and application

Abstract
PurposeThis 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/approachThis 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.FindingsSimulation 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/implicationsAn 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/valueThe 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.

2020

BAT Algorithm aplicado à localização de robôs móveis

Autores
Braga, AdF; De Souza, JPC; Coelho, FdO; Marcato, ALM;

Publicação
Principia: Caminhos da Iniciação Científica

Abstract
A robótica assistiva está presente em diversas áreas de pesquisa do mundo atual. Trabalhos voltados para o aumento da produtividade e para o auxílio de pessoas com deficiência física são alguns exemplos de como a robótica pode facilitar e melhorar a qualidade de vida do ser humano. Com o desenvolvimento de aplicações remotas é possível controlar diferentes dispositivos sem a necessidade de estar presente no local de atuação. Este artigo tem como objetivo controlar um robô humanoide remotamente através do reconhecimento de sinais de eletromiografia, bem como localizá-lo em seu ambiente.

2020

Hybrid Methodology for Path Planning and Computational Vision Applied to Autonomous Mission: A New Approach

Autores
Coelho, FO; Pinto, MF; Souza, JPC; Marcato, ALM;

Publicação
ROBOTICA

Abstract
In recent years, mobile robots have become increasingly frequent in daily life applications, such as cleaning, surveillance, support for the elderly and people with disabilities, as well as hazardous activities. However, a big challenge arises when the robotic system must perform a fully autonomous mission. The main problems of autonomous missions include path planning, localisation, and mapping. Thus, this research proposes a hybrid methodology for mobile robots on an autonomous mission involving an offline approach that uses the Direct-DRRT* algorithm and the artificial potential fields algorithm as the online planner. The experimental design covers three scenarios with an increasing degree of accuracy in respect of the real world. Additionally, an extensive evaluation of the proposed methodology is reported.

2020

AdaptPack studio translator: translating offline programming to real palletizing robots

Autores
Carvalho de Souza, JP; Castro, AL; Rocha, LF; Silva, MF;

Publicação
Industrial Robot: the international journal of robotics research and application

Abstract
PurposeThis paper aims to propose a translation library capable of generating robots proprietary code after their offline programming has been performed in a software application, named AdaptPack Studio, running over a robot simulation and offline programming software package.Design/methodology/approachThe translation library, named AdaptPack Studio Translator, is capable to generate proprietary code for the Asea Brown Boveri, FANUC, Keller und Knappich Augsburg and Yaskawa Motoman robot brands, after their offline programming has been performed in the AdaptPack Studio application.FindingsSimulation and real tests were performed showing an improvement in the creation, operation, modularity and flexibility of new robotic palletizing systems. In particular, it was verified that the time needed to perform these tasks significantly decreased.Practical implicationsThe design and setup of robotics palletizing systems are facilitated by an intuitive offline programming system and by a simple export command to the real robot, independent of its brand. In this way, industrial solutions can be developed faster, in this way, making companies more competitive.Originality/valueThe effort to build a robotic palletizing system is reduced by an intuitive offline programming system (AdaptPack Studio) and the capability to export command to the real robot using the AdaptPack Studio Translator. As a result, companies have an increase in competitiveness with a fast design framework. Furthermore, and to the best of the author’s knowledge, there is also no scientific publication formalizing and describing how to build the translators for industrial robot simulation and offline programming software packages, being this a pioneer publication in this area.

2019

AdaptPack Studio: Automatic Offline Robot Programming Framework for Factory Environments

Autores
Castro, A; Souza, JP; Rocha, L; Silva, MF;

Publicação
19th IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2019

Abstract
The brisk and dynamic environment that factories are facing, both as an internal and an external level, requires a collection of handy tools to solve emerging issues in the industry 4.0 context. Part of the common challenges that appear are related to the increasing demand for high adaptability in the organizations' production lines. Mechanical processes are becoming faster and more adjustable to the production diversity in the Fast Moving Consumer Goods (FMCG). Concerning the previous characteristics, future factories can only remain competitive and profitable if they have the ability to quickly adapt all their production resources in response to inconstant market demands. Having previous concerns in focus, this paper presents a fast and adaptative framework for automated cells modeling, simulation and offline robot programming, focused on palletizing operations. Established as an add-on for the Visual Components (VC) 3D manufacturing simulation software, the proposed application allows performing fast layout modeling and automatic offline generation of robot programs. Furthermore, A* based algorithms are used for generating collision-free trajectories, discretized both in the robot joints space and in the Cartesian space. The software evaluation was tested inside the VC simulation world and in the real-world scenario. Results have shown to be concise and accurate, with minor displacement inaccuracies due to differences between the virtual model and the real world. © 2019 IEEE.