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FOSTERING EFFICIENT LEARNING IN THE TECHNICAL FIELD OF ROBOTICS BY CHANGING THE AUTONOMOUS DRIVING COMPETITION OF THE PORTUGUESE ROBOTICS OPEN

Título
FOSTERING EFFICIENT LEARNING IN THE TECHNICAL FIELD OF ROBOTICS BY CHANGING THE AUTONOMOUS DRIVING COMPETITION OF THE PORTUGUESE ROBOTICS OPEN
Tipo
Artigo em Livro de Atas de Conferência Internacional
Ano
2017
Autores
Costa, V
(Autor)
Outra
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Sousa, P
(Autor)
Outra
Armando Jorge Sousa
(Autor)
FEUP
lau, n
(Autor)
FCUP
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Ata de Conferência Internacional
Páginas: 7705-7711
10th Annual International Conference of Education, Research and Innovation (ICERI)
Seville, SPAIN, NOV 16-18, 2017
Outras Informações
ID Authenticus: P-00N-KHJ
Abstract (EN): Autonomous Vehicles are a topic of important research, also being visually appealing to the public and attractive to educators and researchers. The autonomous driving competition in the Portuguese Robotics Open tries to take advantage of this context but concerns arise from lack of participators. Participants mention the complexity of issues related to the challenge, the space occupied for the track and the budget needed for participation. This paper takes advantage of a realistic simulator under Gazebo/ROS, studies a new track design and proposes a change in the track. The analysis presented tries to ascertain if the new design facilitates the learning process that is intended for participants while keeping visual appeal for both the general public and the participants. The proposed setup for the rules and simulator is expected to address the mentioned concerns. The rule's modification and simulator are evaluated and tested, hinting that expected learning outcomes are encouraged and the track occupied area is reduced. Learning includes mobile robotics (discrete event system and continuous control), real time artificial image vision systems (2D at image recognition and processing of real world imagery seen in 3D perspective), general real world robotics such as mechanics, control, programming, batteries, systems thinking as well as transversal skills such as team cooperation, soft skills, etc. Shown results hint that the new track and realistic simulation are promising to foster learning and hopefully attract more competing teams.
Idioma: Inglês
Tipo (Avaliação Docente): Científica
Nº de páginas: 7
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