INESC TEC
INESC TEC
INESC TEC
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INESC TEC

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.

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

See more publications

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

See more supervised theses

Contact Us

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