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About

André Dias was born in Porto, Portugal 1980. He finished is lic. degree in Electrical and Electronic Engineering from ISEP Porto Polytechnic School in 2004. He pursue further studies and obtained his Master in Electronics and Computers Engineering, from IST University of Lisbon in 2008. In 2015 graduated (Phd) in Electronics and Computers Engineering, from IST University of Lisbon.
He currently is a professor at the School of Engineering (ISEP) of the Porto Polytechnic Institute (IPP) and senior researcher at the robotics and autonomous systems group of INESC TEC in Portugal, where he is project member in several international FP7, H2020 projects. He is the main author of several research publications in the domains of perception and mobile robotics applications.

Interest
Topics
Details

Details

005
Publications

2019

ISEP/INESC TEC Aerial Robotics Team for Search and Rescue Operations at the euRathlon 2015

Authors
Sousa, P; Ferreira, A; Moreira, M; Santos, T; Martins, A; Dias, A; Almeida, J; Silva, E;

Publication
Journal of Intelligent and Robotic Systems: Theory and Applications

Abstract
This paper presents the results from search and rescue missions performed with the aerial robot OTUS in the the context of the ISEP/INESC TEC aerial robotics team participation on the euRathlon 2015 robotics competition. The multi-domain (land, sea and air) search and rescue scenario is described and technical solution adopted is presented with emphasis on the perception system. The calibration of the image based system is addressed. Results from the operational missions performed are also discussed. The aerial autonomous vehicle was able to successfully perform multiple tasks from the aerial reconnaissance and 3D mapping to the identification of leaking pipes, obstructed passages and missing workers. The system was validated a realistic operational scenario and won the Grand Challenge in cooperation with land and marine robotics partner teams. This challenge was the first time that a real time collaborative team of aerial, land and marine robots was deployed successfully in a search and rescue mission. © 2018 Springer Science+Business Media B.V., part of Springer Nature

2018

Control-law for oil spill mitigation with an autonomous surface vehicle

Authors
Pedrosa, D; Dias, A; Martins, A; Almeida, J; Silva, E;

Publication
2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

Abstract
Oil spill incidents in the sea or harbors occur with some regularity during exploration, production, and transport of petroleum products. In order to mitigate the impact of the oil spill in the marine life, immediate, safety, effective and eco-friendly actions must be taken. Autonomous vehicles can assume an important contribution by establishing a cooperative and coordinated intervention. This paper presents the development of a path planning control-law methods for an autonomous surface vehicle (ASV) being able to contour the oil spill while is deploying microorganisms and nutrients (bioremediation) capable of mitigating and contain the oil spill spread with the collaboration of a UAV vehicle. An oil spill simulation scenario was developed in Gazebo to support the evaluation of the cooperative actions between the ASV and UAV and to infer the ASV path planning for each one of the proposed control-law methods. © 2018 IEEE.

2018

UX 1 system design - A robotic system for underwater mining exploration

Authors
Martins, A; Almeida, J; Almeida, C; Dias, A; Dias, N; Aaltonen, J; Heininen, A; Koskinen, KT; Rossi, C; Dominguez, S; Voros, C; Henley, S; McLoughlin, M; van Moerkerk, H; Tweedie, J; Bodo, B; Zajzon, N; Silva, E;

Publication
2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)

Abstract
This paper describes the UX-1 underwater mine exploration robotic system under development in the context of the UNEXMIN project. UNEXMIN is an international innovation action funded under the EU H2020 program, aiming to develop new technologies and services allowing the exploration of flooded underground mines. The system is comprised by the UX-1 robot prototype, launch and recovery system, command and control subsystem and a data management and post-processing computational infrastructure. The UX-1 robot is a small spherical robot equipped with a multibeam sonar, five digital cameras and rotating laser line structured light systems. It is capable of obtaining an accurate point cloud of the surrounding environment along with high resolution imagery. A set of mineralogy, water parameters and geophysical sensors was also developed in order to obtain a more comprehensive mine model. These comprise a multi-spectral camera, electro-conductivity, pH, magnetic field sensors, a subbottom sonar, total natural gamma-ray detector, UV-light for fluorescent observation and a water sampling unit. The design of the system is presented along with the robot design. Some preliminary results are also presented and discussed

2017

PLineD: Vision-based power lines detection for Unmanned Aerial Vehicles

Authors
Santos, T; Moreira, M; Almeida, J; Dias, A; Martins, A; Dinis, J; Formiga, J; Silva, E;

Publication
2017 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2017

Abstract
It is commonly accepted that one of the most important factors for assuring the high performance of an electrical network is the surveillance and the respective preventive maintenance. From a long time ago that TSOs and DSOs incorporate in their maintenance plans the surveillance of the grid, where is included the aerial power lines inspection. Those inspections started by human patrol, including structure climbing when needed and later were substituted by helicopters with powerful sensors and specialised technicians. More recently the Unmanned Aerial Vehicles (UAV) technology has been used, taking advantage of its numerous advantages. This paper addresses the problem of improving the real-time perception capabilities of UAVs for endowing them with capabilities for safe and robust autonomous and semi-autonomous operations. It presents a new vision based power line detection algorithm denoted by PLineD, able to improve the detection robustness even in the presence of image with background noise. The algorithm is tested in real outdoor images of a dataset with multiple backgrounds and weather conditions. The experimental results demonstrate that the proposed approach is effective and able to implemented in real-time image processing pipeline. © 2017 IEEE.

2017

Simulation environment for underground flooded mines robotic exploration

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

Publication
2017 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2017

Abstract
This paper presents the work performed in the implementation of an underwater simulation environment for the development of an autonomous underwater vehicle for the exploration of flooded underground tunnels. In particular, the implementation of a laser based structured light system, multibeam sonar and other robot details were addressed. The simulation was used as a relevant tool in order to study and specify the robot multiple sensors characteristics and placement in order to adequately survey a realistic environment. A detailed description of the research and development work is presented along with the analysis of obtained results and the benefits this work brings to the project. © 2017 IEEE.

Supervised
thesis

2017

SISTEMA AUTÓNOMO DE MONITORIZAÇÃO SUBAQUÁTICA COM VARIAÇÃO DE FLUTU- ABILIDADE PARA O PROJECTO MARINEYE

Author
MARCO MOTA GONÇALVES

Institution
IPP-ISEP

2017

Sistema de Apoio ao Processo de Aterragem Autónoma de um VTOL

Author
MIGUEL MORIM MOREIRA

Institution
IPP-ISEP

2017

Análise e Proposta de Melhorias do Pipeline de processamento do wiiGO

Author
PEDRO MANUEL DA SILVA RIBEIRO

Institution
IPP-ISEP

2017

Inspecção Visual de Isoladores Eléctricos - Abordagem baseada em Deep Learning

Author
DANIEL DOS SANTOS OLIVEIRA

Institution
IPP-ISEP

2016

Planeamento de Trajetória para Operações de Busca e Salvamento com UAVs

Author
TIAGO SANTOS FERNANDES

Institution
IPP-ISEP