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Sobre
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Sobre

Sou Investigador Sénior no centro de Róbotica e Sistemas Autónomos do INESC TEC. Formei-me na Faculdade de Engenharia da Universidade do Porto em Engenharia Electrotécnica e de Computadores, primeiro com o grau de mestre, em 2009, e depois com o grau de doutor, em 2014. Desde 2009, estou ligado à Robótica Submarina e de Superfície investigando em Controlo, Condução (guidance), Localização e Coordenação de robots marítimos.

As minhas atividades têm sido desenvolvidas no âmbito de diversos projectos nacionais e internacionais dos quais se destacam o projeto Lajeado (AUV para monitorização de barragens), o FP7 ICARUS (Integrated Components for Assisted Rescue and Unmanned Search operations) e o FLEXUS (Flexible Unmanned Surface vehicles for the Internet of moving things), financiado pelo projeto H2020 RAWFIE.

Estou ainda envolvido no desenvolvimento de vários sistemas robóticos e na origem de vários protótipos tais como o veículo de superfície autónomo FLEXUS e o veículo submarino autónomo SHAD.

Tópicos
de interesse
Detalhes

Detalhes

008
Publicações

2019

REX 16-Robotic Exercises 2016 Multi-robot field trials

Autores
Marques, MM; Mendonca, R; Marques, F; Ramalho, T; Lobo, V; Matos, A; Ferreira, B; Simoes, N; Castelao, I;

Publicação
2019 IEEE UNDERWATER TECHNOLOGY (UT)

Abstract
Nowadays, one of the problems associated with Unmanned Systems is the gap between research community and end-users. In order to emend this problem, the Portuguese Navy Research Center (CINAV) conducts the REX 2016 (Robotic Exercises). This paper describes the trials that were presented in this exercise, divided in two phases. The first phase happened at the Naval Base in Lisbon, with the support of divers and RHIBs (Rigid-Hulled Inflatable Boats), and the second phase, also with divers' support, at the coast of Lisbon-Cascais. It counted with many participants and research groups, including INESC-TEC, UNINOVA, TEKEVER and UAVISION. There are several advantages of doing this exercise, including for the Portuguese Navy, but also for partners. For the Navy, because it is an opportunity of being in contact with recent market technologies and researches. On the other hand, it is an opportunity for the partners to test their systems in a real environment, which usually is a difficult action to accomplish. Therefore, the paper describes three of the most relevant experiments: underwater docking stations, UAV and USV cooperation and Tracking targets from UAVs.

2018

Experimental evaluation of shore to unmanned surface vehicle Wi-Fi communications

Autores
Coelho, A; Lopes, M; Ferreira, B; Campos, R; Ricardo, M;

Publicação
2018 Wireless Days, WD 2018, Dubai, United Arab Emirates, April 3-5, 2018

Abstract

2018

Development of a Dynamic Model for Twin Hull ASVs

Autores
Pinto, AF; Cruz, NA; Pinto, VH; Ferreira, BM;

Publicação
2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO)

Abstract

2018

Guidance of an Autonomous Surface Vehicle for Underwater Navigation Aid

Autores
Sousa, JP; Ferreira, BM; Cruz, NA;

Publicação
AUV 2018 - 2018 IEEE/OES Autonomous Underwater Vehicle Workshop, Proceedings

Abstract
Unmanned Underwater Vehicles (UUVs), such as Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs) are versatile tools, suitable for many activities in different fields, and have seen an increase in usage, making them an area of interest in the study of robotics. The performance of any underwater vehicle in any given task is deeply affected by the precision of its localization system. The main challenge in underwater localization is the significant attenuation of any Radio Frequency (RF) signal underwater, which prevents the use of many common location methods such as the Global Positioning System (GPS). Many methods have been studied for the localization of UUVs, including the use of acoustic beacons. One of these methods is the use of a single moving beacon to obtain acoustic ranges, as opposed to a stationary single beacon, which restricts the UUV's trajectory or multiple beacons, involving more hardware, complicating missions' logistics and increasing costs. In this paper, a guidance algorithm based on the Fisher Information Matrix is proposed for an Autonomous Surface Vehicle to serve as a beacon vehicle and aid in the navigation of a UUV. The approach performances are assessed by means of simulations of the complete system under realistic conditions. © 2018 IEEE.

2018

AUV Self-localization in Structured Environments Using a Scanning Sonar and an Extended Kalman Filter

Autores
Fula, JP; Ferreira, BM; Oliveira, AJ;

Publicação
OCEANS 2018 MTS/IEEE CHARLESTON

Abstract
Autonomous Underwater Vehicles (AUV) are growing in importance for their many underwater applications, due to their characteristics and functionalities. Making use of a imaging sonar, it is possible to acquire the AUV's distance to existing obstacles. Then, through an implementation of a feature detection algorithm and an estimator, it is possible to interpolate the vehicle's relative position. This paper proposes a localization method for structured environments employing a mechanical scanning sonar feeding an extended Kalman filter. Some tests were then run in two different water tanks in order to verify the effectiveness of the solutions. These tests were performed in two different phases. For the first one, all the readings were taken with the vehicle steady and immobile. The second phase was executed with the vehicle in motion. The results are presented and compared against ground-truth measurements.

Teses
supervisionadas

2018

Analyzing Chatbots Data with Data Mining

Autor
Ana Catarina Dias Amaral

Instituição
UP-FEUP

2017

Rover submarino

Autor
José Tiago Cardoso Meireles

Instituição
UP-FEUP