INESC TEC
INESC TEC
INESC TEC
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Armando Sousa

Armando Sousa

Senior Researcher

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.

Publications

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

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Supervised Theses

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

See more supervised theses

Centres

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.

Robotics in Industry and Intelligent Systems

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