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About

Electrical engineering formation with an emphasis on electronic systems and a master in electrical engineering from the Federal University of Juiz de Fora, his training allowed him to have competence in the area of ??digital and analogue electronics. However, the central area of ??expertise is robotics in which he is since 2012 as a researcher and promoted his master's degree. He is currently R&D and develops research in the robotics area at the Institute of Systems and Computer Engineering, Technology and Science - INESC TEC. He has experience in several R&D projects that he developed in Brazil and Portugal. Expertise areas, experience and skills include the creation of firmware, middleware and software, embedded systems, control techniques and artificial and computational intelligence. Development of robots, autonomous unmanned aerial vehicles, autonomous systems, robotic manipulators, industrial robotics and sensing (computer vision and 3D perception).

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Publications

2021

Reconfigurable Grasp Planning Pipeline with Grasp Synthesis and Selection Applied to Picking Operations in Aerospace Factories

Authors
Carvalho de Souza, JPC; Costa, CM; Rocha, LF; Arrais, R; Paulo Moreira, AP; Solteiro Pires, EJS; Boaventura Cunha, J;

Publication
Robotics and Computer-Integrated Manufacturing

Abstract

2020

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

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

Publication
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

BAT Algorithm aplicado à localização de robôs móveis

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

Publication
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

AdaptPack studio translator: translating offline programming to real palletizing robots

Authors
de Souza, JPC; Castro, AL; Rocha, LF; Silva, MF;

Publication
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.

2020

AdaptPack Studio: an automated intelligent framework for offline factory programming

Authors
Castro, AL; de Souza, JPC; Rocha, LF; Silva, MF;

Publication
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.