INESC TEC
INESC TEC
INESC TEC
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INESC TEC

Robotics and Autonomous Systems

About the 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

Selected Publications

A Multimodal Perception System for Precise Landing of UAVs in Offshore Environments

Claro, RM;Neves, FSP;Pinto, AMG;

2025

JOURNAL OF FIELD ROBOTICS

Real-Time Registration of 3D Underwater Sonar Scans

Ferreira, A;Almeida, J;Matos, A;Silva, E;

2025

ROBOTICS

A review of methods and instruments to monitor turbidity and suspended sediment concentration

Matos, T;Martins, MS;Henriques, R;Goncalves, LM;

2024

JOURNAL OF WATER PROCESS ENGINEERING

Underwater Volumetric Mapping using Imaging Sonar and Free-Space Modeling Approach

Oliveira, AJ;Ferreira, BM;Cruz, NA;

2024

2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2024)

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Supervised Theses

Monocular vision-based system for docking a hovering AUV

André Bianchi de Aguiar Araújo de Figueiredo

D - 2019

UP-FEUP

Robot Localization and Mapping in Dynamic Underwater Environments

António João Almeida Bernardo Ferreira

D - 2019

UP-FEUP

Distributed Perception from Multiple Intelligent Systems for Offshore Marine Surveys

Daniel Filipe Barros Campos

D - 2019

UP-FEUP

Active Cooperative Perception for UAVs Teams

Guilherme Marques Amaral Silva

D - 2019

UP-FEUP

See more supervised theses

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