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
2020
Authors
Fernandes, D; Pinheiro, F; Dias, A; Martins, A; Almeida, J; Silva, E;
Publication
Advances in Intelligent Systems and Computing
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.
2020
Authors
Ferreira, A; Matias, B; Almeida, J; Silva, E;
Publication
International Journal of Advanced Robotic Systems
Abstract
2020
Authors
Almeida, J; Matias, B; Ferreira, A; Almeida, C; Martins, A; Silva, E;
Publication
Sensors
Abstract
2019
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
2019
Authors
Azevedo, F; Dias, A; Almeida, J; Oliveira, A; Ferreira, A; Santos, T; Martins, A; Silva, E;
Publication
Sensors
Abstract
Supervised Thesis
2018
Author
FÁBIO ANDRÉ COSTA AZEVEDO
Institution
IPP-ISEP
2018
Author
EDUARDO JOSÉ PINTO SOARES
Institution
IPP-ISEP
2018
Author
CAIO TEIXEIRA LOMBA
Institution
IPP-ISEP
2018
Author
ANDRÉ FILIPE MARTINS FERREIRA
Institution
IPP-ISEP
2017
Author
MACIEJ CEREKWICKI
Institution
IPP-ISEP
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