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About

About

Armando Sousa received his Ph.D. degrees in the area of Robotics at the University of Porto, Portugal in 2004.
He is currently an Auxiliary Professor in the same faculty and an integrated researcher in the INESCTEC (Institute for Systems and Computer Engineering of Porto - Technology and Science).
He received several international awards in robotic soccer under the RoboCup Federation (mainly in the small size league). He has also received the Pedagogical Excellence award of the UP in year 2015.
His main research interests include education, robotics, data fusion and vision systems. He has co-authored over 50 international peer-reviewed publications and participated in over 10 international projects in the areas of education and robotics.

Interest
Topics
Details

Details

Publications

2018

Preventing Wine Counterfeiting by Individual Cork Stopper Recognition Using Image Processing Technologies

Authors
Costa, V; Sousa, A; Reis, A;

Publication
Journal of Imaging

Abstract

2018

SQUIRLROB: A DO IT YOURSELF ARDUINO AND SMARTPHONE HARDWARE AND SOFTWARE PLATFORMS FOR ROBOTICS EDUCATION

Authors
Costa, V; Santos, D; Sousa, A;

Publication
INTED2018 Proceedings

Abstract

2018

Design of an Embedded Multi-Camera Vision System - A Case Study in Mobile Robotics

Authors
Costa, V; Cebola, P; Sousa, A; Reis, A;

Publication
Robotics

Abstract
The purpose of this work is to explore the design principles for a Real-Time Robotic Multi Camera Vision System, in a case study involving a real world competition of autonomous driving. Design practices from vision and real-time research areas are applied into a Real-Time Robotic Vision application, thus exemplifying good algorithm design practices, the advantages of employing the "zero copy one pass" methodology and associated trade-offs leading to the selection of a controller platform. The vision tasks under study are: (i) recognition of a "flat" signal; and (ii) track following, requiring 3D reconstruction. This research firstly improves the used algorithms for the mentioned tasks and finally selects the controller hardware. Optimization for the shown algorithms yielded from 1.5 times to 190 times improvements, always with acceptable quality for the target application, with algorithm optimization being more important on lower computing power platforms. Results also include a 3-cm and five-degree accuracy for lane tracking and 100% accuracy for signalling panel recognition, which are better than most results found in the literature for this application. Clear results comparing different PC platforms for the mentioned Robotic Vision tasks are also shown, demonstrating trade-offs between accuracy and computing power, leading to the proper choice of control platform. The presented design principles are portable to other applications, where Real-Time constraints exist. © 2018 by the authors.

2018

Automatic generation of disassembly sequences and exploded views from solidworks symbolic geometric relationships

Authors
Costa, CM; Veiga, G; Sousa, A; Rocha, LF; Oliveira, EC; Cardoso, HL; Thomas, U;

Publication
2018 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2018, Torres Vedras, Portugal, April 25-27, 2018

Abstract

2018

Pedagogical and technological replanning: a successful case study on integration and transversal skills for engineering freshmen

Authors
Torres, MF; Sousa, AJ; Torres, RT;

Publication
International Journal of Technology and Design Education

Abstract
Replanning is often used to optimize results of an activity in an ever changing world. To address the challenge of preparing future engineers for success, a special course was created for all engineering freshmen of the Faculty of Engineering of the University of Porto, in Portugal. Presented as a case study, this special course underwent a careful replanning as a result of several years of experience in teaching practice alongside with a theoretical deepening in pedagogical and technological issues, under the aegis of the action-research methodology. Within the context of the case study course, the mentioned replanning was also based on a theoretical approach that clearly identifies teaching–learning-assessment methodologies that promote regulation from those that foster emancipation, using a specific instrument: a taxonomy of educational processes. The replanning was designed to globally boost results regarding the educational aims of the course such as furthering freshmen’s integration into work environment and preparing them for success by fostering transversal skills (needed for study and work). Technology is seen as a mean of education enrichment as well as a productivity tool. The introduced innovations include fun-but-educational activities, several types of assessment over time and specific technological tools which were critical for the educational impact/achievement of this course. Success is demonstrated by encouraging feedback from the stakeholders, high students’ classifications and a steady reduction in retention. It is advocated that large portions of the reasoning behind the replanning can be extrapolated to other courses. © 2017 Springer Science+Business Media Dordrecht

Supervised
thesis

2017

Vision-based Feature matching as a tool for Robotic Localization

Author
Nolasco Amado dos Santos Napoleão

Institution
UP-FEUP

2017

Localização por intermédio de iBeacons

Author
Ricardo Germano dos Reis

Institution
UP-FEUP

2017

Vision Methods to Find Uniqueness Within a Class of Objects

Author
Valter Joaquim Ramos Costa

Institution
UP-FEUP

2017

Atualização de Simulador Físico de Condução Automóvel por Integração de Sistema de Realidade Virtual

Author
André Jesus de Carvalho Pinto

Institution
UP-FEUP

2016

0

Author
Rosária Maria Afonso Rodrigues de Melo

Institution
UP-FCNA