José Miguel Almeida

Domains

Robotics and Autonomous Systems Robotics

Projects

inSITE

Insite ore grading system using LIBS in harsh environments, funded by EIT Raw Material. LIBS is a promising tool for real-time analysis of low atomic weight critical raw materials such as Li. Most solutions on the market are plagued by inconsistent results and poor quantification performance. inSITE introduces a new solution based on a modular hardware architecture coupled with advanced algorithms and a knowledge database of mineral spectra, that will enable a new generation of smart LIBS technology, adaptable to real time ore grading in challenging scenarios.

SUNNY

The goal of project SUNNY is to develop and integrate novel and comprehensive solutions for intelligent surveillance of borders (land and sea). The solutions will detect crossing and illegal entry using a heterogeneous network of sensors carried by Unmanned Aerial Vehicles (UAVs). The developed SUNNY system will be able to monitor large maritime or terrestrial border areas and to detect and track targets and intended incursions.

Smart UNmanned aerial vehicle sensor Network for detection of border crossing and illegal entrY

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Publications

UAV Visual and Thermographic Power Line Detection Using Deep Learning

Santos, T;Cunha, T;Dias, A;Moreira, AP;Almeida, J;

2024

SENSORS

A Survey of Seafloor Characterization and Mapping Techniques

Loureiro, G;Dias, A;Almeida, J;Martins, A;Hong, SP;Silva, E;

2024

REMOTE SENSING

Simulation Environment for Underground Flooded Mines Robotic Exploration

Pereira, R;Rodrigues, J;Martins, A;Dias, A;Almeida, J;Almeida, C;Silva, E;

2017

2017 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)

Methodological insights from unmanned system technologies in a rock quarry environment and geomining heritage site: coupling LiDAR-based mapping and GIS geovisualisation techniques

Pires, A;Dias, A;Silva, P;Ferreira, A;Rodrigues, P;Santos, T;Oliveira, A;Freitas, L;Martins, A;Almeida, J;Silva, E;Chaminé, HI;

2023

Arabian Journal of Geosciences

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Supervised theses

A Framework to Interpret Multiple Related Rule-based Models

Pedro Rodrigo Caetano Strecht Ribeiro

D - 2024

UP-FEUP

Centres

Robotics and Autonomous Systems

The Centre for Robotics and Autonomous Systems (CRAS) focuses on developing innovative robotic solutions for operation in complex environments. Each day, our researchers strive to map the unknown, creating solutions to explore the oceans’ depths, monitor the environment, or inspect infrastructures. Our goal? To become a global reference in robotics and autonomous systems, combining expertise in multisensory perception and 3D modelling, navigation and control, robotic manipulation and intervention - pushing the boundaries of autonomous robotics and integrating aerial, ground, and underwater robots into our solutions. Focusing on Technology Readiness Levels (TRL) between 5 and 8, CRAS develops prototypes and operational solutions for strategic sectors. Our laboratory infrastructure includes test tanks, prototyping workshops, and a wide range of equipment ready to operate in real-world environments. Our researchers also resort to Mar Profundo, a support vessel for testing and validating innovative maritime technologies - a key asset in bridging theoretical design and field validation. CRAS stands out for a practical approach: we combine advanced research with a strong focus on real-world applications, reducing human risk in hazardous missions, optimising operations and processes, and expanding the frontiers of autonomous robotics.