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INESC TEC
INESC TEC
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Paulo Moura Oliveira

Paulo Moura Oliveira

Paulo Moura Oliveira received the Electrical Engineering degree in 1991, from the UTAD University, Portugal, MSc in Industrial Control Systems in 1994 and PhD in Control Engineering in 1998, both from Salford University, Manchester, UK. He is a Tenured Associated Professor at the Engineering Department of UTAD University and a researcher at the INESC TEC institute. Currently, he is the director of the PhD Course in Electrical and Computers Engineering in UTAD. His research interests are focused on the fields of control engineering, intelligent control, PID control, control engineering education, evolutionary and natural inspired metaheuristics for single and multiple objective optimization problem solving. He is author in more than 100 peer-reviewed scientific publications.

Publications

MOMI tuning method based on frequency-response data

Vrancic D.;Oliveira P.M.;Huba M.;Bisták P.;

2024

IFAC-PapersOnLine

Improved MOMI tuning method for integrating processes

Vrancic D.;Huba M.;Bisták P.;Oliveira P.M.;

2024

IFAC-PapersOnLine

Evaluation of GPTs for Control Engineering Education: Towards Artificial General Intelligence

de Moura Oliveira P.B.;Vrancic D.;

2024

IFAC-PapersOnLine

Integration of a Free Navigation Autonomous Mobile Robot into a Graph and ROS-Based Robot Fleet Manager

Rebelo, PM;Féliz, MC;Oliveira, PM;Sobreira, H;Costa, P;

2024

ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE ADVANCES IN ROBOTICS, VOL 1

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Supervised Theses

Development of an intelligent robotic learning system for physiotherapy treatments

Inês Pascoal Nogueira

M - 2024

UP-FEUP

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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