INESC TEC
INESC TEC
INESC TEC
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Rui Costa Martins

Rui Costa Martins

Projects

FLAPSYS

The main goal of FlaPsys is the development of an advanced spectroscopy system capable of real time element identification and quantification in complex mineral samples. The system is a unique tool enabling detailed study of Lithium Ores from northern Portugal. In the context of critical raw materials and high tech metals, the Portuguese territory presents great potential, both on land where strategic metals (eg. Li) are available, or on the ocean depths where a vast continental platform holds significant mining potential. It is therefore, of strategic National importance to investigate: i) geological processes producing ore deposits of critical metals, lithium, antimony, and rare earth elements (REEs), and ii) utilization of these metals in industrial products. The link between these research topics lies in the need to understand the mechanisms by which such critical metals are transported and stored in liquids, gases, and crystals at scales down to a spatial scale of 1 mm. However, such detailed study, is particularly difficult for light elements such as Li where conventional techniques such as XRF do not work. In this context, the availability of a tool for real time analysis of Li and other strategic metals in complex minerals is of critical importance. Laser induced breakdown spectroscopy (LIBS) is one of the few techniques able to tackle such task with an easy to use system both in the lab and in the field. Nevertheless, while portable LIBS system are starting to be available, their quantification ability is still unreliable. This derives from lack of suitable spectra databases and robust algorithms that are unable to account for matrix effects and super-position of emission bands in complex minerals. FlapSys team, will put forward an innovative approach to LIBS design, supported by a Fiber Laser with unique features, that will enable a higher performance: multi-pulse, compact, high spatial resolution, high speed system, suitable for operation in gas, liquid and solid phase. The team will establish a knowledge database of LIBS spectra, coupled with geochemistry data (electron microscope, Raman, UV-NIR) of reference materials, and artificial intelligence algorithms that will enable a reliable quantitative LIBS tool. Flapsys joins INESC TEC, that will adapt an existing LIBS system recently developed for mining applications in H2020 project VAMOS, and U Porto Geosciences Department, with state of the art geochemistry equipment and access to mining sites in Northern Portugal Prototype validation tests will focus the study of the critical metal: lithium and its ores, and the exploratory analysis of contaminated soils From this project will result a competitive edge for the region and a unique tool in Portugal enabler of highly advanced studies of complex minerals, with potential for much more, from environmental analysis to deep ocean exploration incorporated in autonomous vehicles.

Fiber laser plasma spectroscopy system for real time element analysis

MetBots

Metabolomic robots with self-learning artificial intelligence for precision agriculture
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Publications

Painless Artificial Intelligence Point-of-Care hemogram diagnosis in Companion Animals

Barroso, TG;Costa, JM;Gregório, AH;Martins, RC;

2024

Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria

Fachada, N;Figueiredo, MAT;Lopes, VV;Martins, RC;Rosa, AC;

2014

PATTERN RECOGNITION LETTERS

Bi-directional hyperspectral reconstruction of cherry tomato: diagnosis of internal tissues maturation stage and composition

Tosin, R;Cunha, M;Monteiro Silva, F;Santos, F;Barroso, T;Martins, R;

2024

FRONTIERS IN PLANT SCIENCE

Reagentless Vis-NIR Spectroscopy Point-of-Care for Feline Total White Blood Cell Counts

Barroso, TG;Queirós, C;Monteiro Silva, F;Santos, F;Gregório, AH;Martins, RC;

2024

BIOSENSORS-BASEL

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Supervised theses

Extending Conflict Free Replicated Data Types Fault Models

Houssam Ahmad Yactine

D - 2024

UM-EEUM

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