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Armando Sousa

Armando Sousa

Investigador Sénior

Armando Jorge Miranda de Sousa received his PhD in 2004, in Electrical and Computer Engineering (ECE) at University of Porto - Faculty of Engineering (FEUP), Portugal. His thesis work was in the subarea of Robotics and Automation.

He is currently an Associate Professor in the ECE department of FEUP and an integrated senior researcher at Centre for Intelligent and Industrial Systems (CRIIS) at the INESC TEC interface institute. He earned in 2014 the international pedagogical certification "ING.PAED.IGIP" from the International Society for Engineering Pedagogy and is currently an active member for the European Society for Engineering Education (SEFI).

His main research areas include Higher Education and Robotics, but most recently focusing on Robot Learning and Learning for Cyber Physical Systems. Application areas include not only intelligent robots for agriculture and forest but also robotic manipulation of flexible objects. As a frequent participant in robotic contests, some of which used AI in real world robotics, he has earned several national and international merits (examples: vice champion of RoboCup Robotic Soccer in 2006, winner of Autonomous Driving of Portuguese Robotics Open of 2022).

He has also earned educational awards such as the University of Porto (UP) excellence award in 2015 and 10 best at ECEL 2015 excellence e-learning awards. He has published over 80 indexed peer reviewed articles both in pedagogical issues and more technical areas. Also, he has a patent entitled "Device and method for identifying a cork stopper and respective kit". He is also involved in educational and technical funded projects such as "IntelWheels 2" and "blockchain.pt".

He currently (co-)supervises 7 PhD students.

More details in https://www.cienciavitae.pt/en/1C17-7D93-4CF3 and https://fe.up.pt/asousa.

Publicações

AR/VR Digital Twin for simulation and data collection of robotic environments

Martins, JG;Nutonen, K;Costa, P;Kuts, V;Otto, T;Sousa, A;Petry, MR;

2025

2025 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS, ICARSC

Gen-JEMA: enhanced explainability using generative joint embedding multimodal alignment for monitoring directed energy deposition

Ferreira, J;Darabi, R;Sousa, A;Brueckner, F;Reis, LP;Reis, A;Tavares, RS;Sousa, J;

2025

Journal of Intelligent Manufacturing

DESIGNING A FLEXIBLE AND INEXPENSIVE LABORATORY FOR TEACHING INDUSTRIAL COMMUNICATION SYSTEMS

de Sousa, M;Almeida, L;Sousa, A;Portugal, P;

2016

EDULEARN16: 8TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES

ENHANCING SAMPLE EFFICIENCY FOR TEMPERATURE CONTROL IN DED WITH REINFORCEMENT LEARNING AND MOOSE FRAMEWORK

Sousa, J;Darabi, R;Sousa, A;Reis, LP;Brueckner, F;Reis, A;de Sá, JC;

2023

PROCEEDINGS OF ASME 2023 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2023, VOL 3

Ver todas as publicações

Teses Orientadas

Simulation and Intelligent Visualization Tool for an Investment Casting Manufacturing Process

Ana Beatriz Campos Cruz

M - 2019

UP-FEUP

Ferramenta para Desenvolvimento de Inteligência em Jogos Simulados em ambiente Simtwo

André Filipe de Domingues e Silva

M - 2019

UP-FEUP

Odometria visual monocular em robôs para a agricultura com camara(s) com lentes "olho de peixe"

André Silva Pinto de Aguiar

M - 2019

UP-FEUP

Robotic simulator for the Tactode tangible block programming system

Márcia Sofia dos Santos Alves

M - 2019

UP-FEUP

Ver mais teses orientadas

Centros

Robótica Industrial e Sistemas Inteligentes

É no Centro de Robótica Industrial e Sistemas Inteligentes que florescem soluções inovadoras para alavancar a robótica no contexto industrial, agrícola e florestal e impulsionar a transformação digital da indústria. Seguimos uma abordagem prática – da conceção à implantação – para ensaiar a navegação e localização de robôs móveis, testar avanços na visão industrial 2D/3D e deteção avançada, sem descurar a robótica industrial e colaborativa, e interfaces humano-robô. O nosso TRIBE LAB é terreno fértil para ideias inovadoras sobre a agricultura do futuro. Ali desenvolvemos protótipos e tecnologia de excelência em robótica agrícola e IoT: com protótipos, sensores avançados (LiDAR, câmaras AI) e ferramentas de prototipagem rápida, aceleramos o desenvolvimento de soluções para o setor agroflorestal. Marcamos ainda presença no iiLab, onde unimos investigação aplicada, demonstração tecnológica e testes em ambiente controlado, promovendo a integração de tecnologias emergentes na indústria. Desde células robóticas inteligentes e sistemas ciberfísicos até à análise de dados e IA, é um espaço de inovação onde as empresas podem experimentar e validar soluções para a fábrica do futuro. Com uma equipa multidisciplinar e alinhado com agendas europeias, o nosso trabalho de investigação combina ciência fundamental e aplicação com impacto no desenho de soluções para a indústria 4.0, promovendo a competitividade e a transformação digital do setor.

Robótica Industrial e Sistemas Inteligentes

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