Paulo Miranda Rebelo

Paulo Rebelo completed is master degree in Electrical and Computers Engineering, in the filed of industrial automation in March 2017, with a specialization in industrial robotics at FEUP - Faculty of Engineering of the University of Porto. During the year of 2016, he developed his master thesis in Continental Mabor, in Lousado, where the main goal was the automation of a calendered rolls cut system at one specific machine of the company.

Nowadays, he is a researcher in INESC TEC, in Porto, since March 2017. Here, he worked in several projects in different areas: mobile robotics, collaborative manipulators, artificial vision systems, automation systems and IoT systems (Industry 4.0), these were his expertise areas.To this day, he has worked on the following projects: FASTEN, ScalABLE4.0, MANUFACTUR4.0, PRECISIONcork, MTEX-Multi and PRODUTECH. Conciliating to development it also does a bit of project management.

Domains

Robotics in Industry and Intelligent Systems Robotics

Projects

Continental FoF

PrecisionCork

The solution promoted by the PRECISIONcork project allows a radical change in current practices in terms of quality control in the production of cork stoppers. By providing a distributed and modular solution in order to measure and to quantify several characteristic parameters related to the production of cork stoppers, such as moisture measurement, density, diameter, length, among others, and consequently to implement a closed loop control in the production equipment involved, it is possible to explore a preventive and process control approach with a view to a final product with a higher quality. This solution enables the development of “zero-defect” strategies and enhances the implementation of robust traceability mechanisms, enabling to meet legal and market requirements considered to be critical these days.The project developed a modular solution in order to measure and to quantify several characteristic parameters related to the production of cork stoppers, such as moisture measurement, density, diameter, length, among others, and consequently to implement a closed loop control in the production equipment. Project datasheet

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Publications

A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms

Rebelo, PM;Lima, J;Soares, SP;Oliveira, PM;Sobreira, H;Costa, P;

2024

SENSORS

The CrossLog System Concept and Architecture

Silva M.F.;Rebelo P.M.;Sobreira H.;Ribeiro F.;

2024

Lecture Notes in Mechanical Engineering

Force control heuristics for surpassing pose uncertainty in mobile robotic assembly platforms

Moutinho, D;Rebelo, P;Costa, C;Rocha, L;Veiga, G;

2021

2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)

A* Based Routing and Scheduling Modules for Multiple AGVs in an Industrial Scenario

Santos, J;Rebelo, PM;Rocha, LF;Costa, P;Veiga, G;

2021

ROBOTICS

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Supervised theses

Transformer-Based Deep Learning Models for Retail Forecasting

Ricardo Jorge Teixeira Caetano

M - 2024

IPP-ISCAP

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.