Details
Name
José Miguel AlmeidaCluster
Networked Intelligent SystemsRole
Centre CoordinatorSince
01st March 2011
Nationality
PortugalCentre
Robotics and Autonomous SystemsContacts
+351228340554
jose.m.almeida@inesctec.pt
2022
Authors
Ferreira, A; Almeida, J; Martins, A; Matos, A; Silva, E;
Publication
SENSORS
Abstract
2022
Authors
Barbosa, S; Dias, N; Almeida, C; Amaral, G; Ferreira, A; Lima, L; Silva, I; Martins, A; Almeida, J; Camilo, M; Silva, E;
Publication
OCEANS 2022
Abstract
The atmospheric electric field is a key characteristic of the Earth system. Despite its relevance, oceanic measurements of the atmospheric electric field are scarce, as typically oceanic measurements tend to be focused on ocean properties rather than on the atmosphere above. This motivated the set-up of an innovative campaign on board the sail ship NRP Sagres focused on the measurement of the atmospheric electric field in the marine boundary layer. This paper describes the monitoring system that was developed to measure the atmospheric electric field during the planned circumnavigation expedition of the sail ship NRP Sagres. © 2022 IEEE.
2021
Authors
Resende, J; Barbosa, P; Almeida, J; Martins, A;
Publication
2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
Abstract
2021
Authors
Loureiro, G; Dias, A; Martins, A; Almeida, J;
Publication
REMOTE SENSING
Abstract
2020
Authors
Fernandes, D; Pinheiro, F; Dias, A; Martins, A; Almeida, J; Silva, E;
Publication
ROBOTICS IN EDUCATION: CURRENT RESEARCH AND INNOVATIONS
Abstract
Teaching robotics based on challenge of our daily lives is always more motivating for students and teachers. Several competitions of self-driving have emerged recently, challenging students and researchers to develop solutions addressing the autonomous driving systems. The Portuguese Festival Nacional de Robótica (FNR) Autonomous Driving Competition is one of those examples. Even though the competition is an exciting challenger, it requires the development of real robots, which implies several limitations that may discourage the students and compromise a fluid teaching process. The simulation can contribute to overcome this limitation and can assume an important role as a tool, providing an effortless and costless solution, allowing students and researchers to keep their focus on the main issues. This paper presents a simulation environment for FNR, providing an overall framework able to support the exploration of robotics topics like perception, navigation, data fusion and deep learning based on the autonomous driving competition. © Springer Nature Switzerland AG 2020.
Supervised Thesis
2018
Author
CAIO TEIXEIRA LOMBA
Institution
IPP-ISEP
2018
Author
ANDRÉ FILIPE MARTINS FERREIRA
Institution
IPP-ISEP
2018
Author
CALLEBE SOARES BARBOSA
Institution
IPP-ISEP
2018
Author
EDUARDO JOSÉ PINTO SOARES
Institution
IPP-ISEP
2017
Author
TIAGO ANDRÉ MIRANDA DOS SANTOS
Institution
IPP-ISEP
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