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Presentation

Robotics and Autonomous Systems

At CRAS, our mission is to develop innovative robotic solutions for complex environments and multiple operations, including data gathering, inspection, mapping, surveillance, and intervention.

We work in four main areas of research: autonomous navigation; long-term deployments; sensing, mapping, and intervention; multiple platform operations.

Latest News
Networked Intelligent Systems

INESC TEC and Portuguese Navy reinforce strategic commitment

INESC TEC welcomed a delegation of the Navy Military Staff in July. More than just presenting the institution, the meeting allowed the Navy’s leaders to contact directly with some of the most recent projects developed in the sea area (and beyond).

25th September 2018

Networked Intelligent Systems

Project ENDURANCE charges underwater sensors through wireless

A team of researchers from INESC TEC’s Centre for Telecommunications and Multimedia (CTM) and Centre for Robotics and Autonomous Systems (CRAS) is developing a technology “that allows autonomous underwater vehicles (AUVs) to approach underwater sensors without battery, energising them and collecting data".

13th August 2018

Networked Intelligent Systems

INESC TEC in project to develop an innovative solution for fish larvae creation

INESC TEC’s Centre for Robotics and Autonomous Systems (CRAS) is part of the FEEDFIRST project that aims to create a technological kit (integrated solution) to allow the rearing of marine fish larvae, such as the gilt-head bream and the sole to their first feeding using only dry food in innovative tanks that are integrated in a monitoring system.

08th August 2018

Networked Intelligent Systems

European project related to safety and border control areas came to an end

After four and half years, the SUNNY project has ended. Sixteen international entities developed a smart sensors network that can be carried on-board of unmanned aircraft.

12th July 2018

Networked Intelligent Systems

Workshop on deep sea challenges organised by INESC TEC

«In the Black - Deep Sea Mining Challenges» was the name given to the workshop organised by INESC TEC’s Centre for Robotics and Autonomous Systems (CRAS), which took place on 5 and 6 July in the School of Engineering of Porto (ISEP). 

11th July 2018

Interest Topics
032

Featured Projects

DIIUS

Distributed perceptIon for inspectIon of aqUatic Structures

2018-2021

BIOREM

Bioremediation of hydrocarbon pollutants by autochthonous microorganisms in aquatic environment

2018-2021

INTENDU

Integrated Technologies Longterm Deployment of Robotic Underwater platforms

2018-2021

PROTOATLANTIC

Development and validation of a program for the prototyping and exploitation of innovative ideas

2017-2020

ROSM

Sistema robótico de mitigação de derrame de crude

2017-2019

TEC4SEA

Modular Platform for Research, Test and Validation of Technologies supporting a Sustainable Blue Economy

2017-2020

EMSO-PT

Observatório Europeu Multidisciplinar do Fundo do Mar e Coluna de Água - Portugal

2017-2020

AutoMon

Monitorização automatizada de albufeiras - NeoEnergia

2017-2019

SpilLess

First line response to oil spills based on native microorganisms cooperation (SpilLess)

2017-2019

SIDENAV

Smart infrastructure for deep sea navigation

2016-2018

RAWFIE

Road-, Air- and Water-based Future Internet Experimentation

2016-2019

HAIFA

Buoys for marine equipment

2016-2017

MyTag

Integrating natural and artificial tags to reconstruct fish migrations and ontogenetic niche shifts

2016-2019

Fmanagement

Fmanagement

2016-2017

DeepFloat

Sistema de variação de flutuação para aplicações submarinas

2016-2018

UNEXMIN

Autonomous Underwater Explorer for Flooded Mines

2016-2019

CORAL-TOOLS-1

CORAL – Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

CORAL-SENSORS

CORAL – Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

CORAL-TOOLS

CORAL – Sustainable Ocean Exploitation: Tools and Sensors

2016-2018

STRONGMAR

STRengthening MARritime Technology Research Center

2016-2018

EMSODEV

EMSO implementation and operation: DEVelopment of instrument module

2015-2018

MarineEye

MarinEye - A prototype for multitrophic oceanic monitoring

2015-2017

BLUECOM+

Connecting Humans and Systems at Remote Ocean Areas using Cost-effective Broadband Communications

2015-2017

ENDURE

Enabling Long-Term Deployments of Underwater Robotic Platforms in Remote Oceanic Locations

2015-2017

Demo_Drone

Demonstração de capacidades de utilização de Drones para inspeção detalhada de ativos de rede

2015-2018

CINMarS

Combining Space and Maritime NetWorks

2015-2017

VAMOS

Viable Alternative Mine Operating System

2015-2018

SUNNY

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

2014-2018

Evologics

Real Time LBL Data Fusion for Acoustic Modems

2013-2018

ICARUS

Integrated Components for Assisted Rescue and Unmanned Search operations

2012-2016

EDA-SAVEWATE

System of Autonomous Vehicles for Water Environments for Defense

2012-2018

SUB.2

Propelled underwater vehicle carrying energy, electronic and computing systems on board, capable of operating autonomously without being connected to the operator

2012-2015

Team
001

Laboratories

Robotics and Autonomous Systems Laboratory

Publications

CRAS Publications

View all Publications

2018

The last frontier: Coupling technological developments with scientific challenges to improve hazard assessment of deep-sea mining

Authors
Santos, MM; Jorge, PAS; Coimbra, J; Vale, C; Caetano, M; Bastos, L; Iglesias, I; Guimarães, L; Reis Henriques, MA; Teles, LO; Vieira, MN; Raimundo, J; Pinheiro, M; Nogueira, V; Pereira, R; Neuparth, T; Ribeiro, MC; Silva, E; Castro, LFC;

Publication
Science of the Total Environment

Abstract
The growing economic interest in the exploitation of mineral resources on deep-ocean beds, including those in the vicinity of sensitive-rich habitats such as hydrothermal vents, raise a mounting concern about the damage that such actions might originate to these poorly-know ecosystems, which represent millions of years of evolution and adaptations to extreme environmental conditions. It has been suggested that mining may cause a major impact on vent ecosystems and other deep-sea areas. Yet, the scale and the nature of such impacts are unknown at present. Hence, building upon currently available scientific information it is crucial to develop new cost-effective technologies embedded into rigorous operating frameworks. The forward-thinking provided here will assist in the development of new technologies and tools to address the major challenges associated with deep sea-mining; technologies for in situ and ex situ observation and data acquisition, biogeochemical processes, hazard assessment of deep-sea mining to marine organisms and development of modeling tools in support of risk assessment scenarios. These technological developments are vital to validate a responsible and sustainable exploitation of the deep-sea mineral resources, based on the precautionary principle. © 2018 Elsevier B.V.

2018

Comparative Study of Visual Odometry and SLAM Techniques

Authors
Gaspar, AR; Nunes, A; Pinto, A; Matos, A;

Publication
Advances in Intelligent Systems and Computing

Abstract
The use of the odometry and SLAM visual methods in autonomous vehicles has been growing. Optical sensors provide valuable information from the scenario that enhance the navigation of autonomous vehicles. Although several visual techniques are already available in the literature, their performance could be significantly affected by the scene captured by the optical sensor. In this context, this paper presents a comparative analysis of three monocular visual odometry methods and three stereo SLAM techniques. The advantages, particularities and performance of each technique are discussed, to provide information that is relevant for the development of new research and novel robotic applications. © Springer International Publishing AG 2018.

2018

Urban@CRAS dataset: Benchmarking of visual odometry and SLAM techniques

Authors
Gaspar, AR; Nunes, A; Pinto, AM; Matos, A;

Publication
Robotics and Autonomous Systems

Abstract

2018

Supervised classification for hyperspectral imaging in UAV maritime target detection

Authors
Freitas, S; Almeida, C; Silva, H; Almeida, J; Silva, E;

Publication
18th IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2018

Abstract
This paper addresses the use of a hyperspectral image system to detect vessels in maritime operational scenarios. The developed hyperspectral imaging classification methods are based on supervised approaches and allow to detect the presence of vessels using real hyperspectral data. We implemented two different methods for comparison purposes: SVM and SAM. The SVM method, which can be considered one of most utilized methods for image classification, was implemented using linear, RBF, sigmoid and polynomial kernels with PCA for dimensionality reduction, and compared with SAM using a two classes definition, namely vessel and water. The obtained results using real data collected from a UAV allow to conclude that the SVM approach is suitable for detecting the vessel presence in the water with a precision and recall rates favorable when compared to SAM. © 2018 IEEE.

2018

APASail—An Agent-Based Platform for Autonomous Sailing Research and Competition

Authors
Alves, B; Veloso, B; Malheiro, B;

Publication
Robotic Sailing 2017

Abstract

Supervised Theses

2017

Physical Design Implementation and Engineering Change Order Flow

Author
Afonso Ferreira Pinto Gomes Moreira

Institution
UP-FEUP

2017

Mapeamento e odometria visual em ambiente subáquatico

Author
Alexandra Pereira Nunes

Institution
UP-FEUP

2017

Navegação e mapeamento subaquáticos simultâneos

Author
Ana Rita da Silva Gaspar

Institution
UP-FEUP

2017

Integração de um Manipulador numa Embarcação Robótica

Author
André Filipe Sousa Pinto

Institution
UP-FEUP

2017

Implementação em Verilog de Codificador/Descodificador Reed-Solomon FEC.

Author
Artur Jorge Alves Antunes

Institution
UP-FEUP

Facts & Figures

7PhDs

2016

5R&D Employees

2016

1412Turnover (k€)

2016

Contacts