
Robotics and Autonomous Systems
About Centre
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.
Flagship Projects
Team Members
Team Members
Selected Publications
A Preliminary Study on Spectral Unmixing for Marine Plastic Debris Surveying
Maravalhas Silva, J;Silva, H;Lima, AP;Silva, E;
2024
OCEANS 2024 - Singapore
Multibeam Multi-Frequency Characterization of Water Column Litter
Guedes, PA;Silva, H;Wang, S;Martins, A;Almeida, JM;Silva, E;
2024
OCEANS 2024 - Singapore
Novel Approach for Offshore Photovoltaic Panels Inspection with VTOL UAV
Morais, R;Martins, JJ;Lima, P;Dias, A;Martins, A;Almeida, J;Silva, E;
2024
OCEANS 2024 - Singapore
Novel Approach for Offshore Photovoltaic Panels Inspection with VTOL UAV
Morais, R;Martins, JJ;Lima, P;Dias, A;Martins, A;Almeida, J;Silva, E;
2024
OCEANS 2024 - Singapore
Supervised theses
Monocular vision-based system for docking a hovering AUV
André Bianchi de Aguiar Araújo de Figueiredo
UP-FEUP
Robot Localization and Mapping in Dynamic Underwater Environments
António João Almeida Bernardo Ferreira
UP-FEUP
Distributed Perception from Multiple Intelligent Systems for Offshore Marine Surveys
Daniel Filipe Barros Campos
UP-FEUP
Active Cooperative Perception for UAVs Teams
Guilherme Marques Amaral Silva
UP-FEUP
Contact Us
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