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About

Electrical engineering formation with an emphasis on electronic systems and a master's in electrical engineering from the Federal University of Juiz de Fora, his training allowed him to have competence in the area of digital and analog 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
de Souza, JPC; Costa, CM; Rocha, LF; Arrais, R; Moreira, AP; Pires, EJS; Boaventura Cunha, J;

Publication
Robotics and Computer-Integrated Manufacturing

Abstract

2021

Robotic grasping: from wrench space heuristics to deep learning policies

Authors
de Souza, JPC; Rocha, LF; Oliveira, PM; Moreira, AP; Boaventura Cunha, J;

Publication
Robotics and Computer-Integrated Manufacturing

Abstract

2021

Low-Cost and Reduced-Size 3D-Cameras Metrological Evaluation Applied to Industrial Robotic Welding Operations

Authors
de Souza, JPC; Rocha, LF; Filipe, VM; Boaventura Cunha, J; Moreira, AP;

Publication
2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

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.