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Navegando por Autor "Goncalves, Luiz Marcos Garcia"

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    Artigo
    EducAval: towards assessment of educational robotics softwares
    (2017) Sá, Sarah Thomaz de Lima; Yanaguibashi, Erika Akemi; Goncalves, Luiz Marcos Garcia; Burlamaqui, Aquiles Medeiros Filgueira
    The main goal of this paper is to perform an analysis of Educational Robotics software environments. For that, a simple, practical and reproducible approach for assessment named EducAval is introduced. The key contribution is the proposal of some homogeneous and universal criteria for software evaluation in this area. Basically, simple assessment steps are followed including survey application and data collection and analysis, with specific questions about didactic and technical issues that are formulated separately for professors and students. After questionnaire application, data are collected and mapped into verification, qualification, and validation parameters. This strategy makes it simpler to evaluate Educational Robotics tools, thus verifying if they attend the requirements of the users and if they can be used as well by schools or other institutions interested in the application of such methodology. The software environments used in the finals of Brazilian Robotics Olympiad have been verified, qualified, and validated using this methodology and the results are presented
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    Framework para avaliação de desempenho de sistemas de controle de veleiros autônomos
    (Universidade Federal do Rio Grande do Norte, 2020-09-04) Santos, Davi Henrique dos; Goncalves, Luiz Marcos Garcia; Amory, Alexandre de Morais; ; ; ; Alsina, Pablo Javier; ; Clua, Esteban Walter Gonzalez; ; Silva, Joao Moreno Vilas Boas de Souza;
    Propomos neste trabalho uma metodologia para estimação do desempenho e comparação de sistemas de controle para veleiros autônomos. Um dos problemas que mais dificulta a pesquisa em robótica móvel na atualidade é a ausência de metodologia padrão e plataformas para distribuição/verificação das implementações e resultados obtidos. Nossa solução consiste em definir uma metodologia para comparação formada por três partes: escopo, métricas e cenários. O escopo define quais partes do sistema são comparáveis e também cria uma forma compreensiva de definir o sistema de navegação básico de um veleiro autônomo. Métricas quantitativas devem ser extraídas dos dados obtidos durante o experimento no cenário e serão usadas para uma avaliação de características esperadas de um sistema de controle, como estabilidade, consumo energético, robustez e eficácia, resultando em uma primeira classificação do sistema de controle. Uma implementação inicial desta metodologia é feita usando o ambiente Ardupilot, onde várias técnicas de controle e métricas foram implementadas e testes em simulação foram realizados. O sistema pode ser gradativamente ampliado com a adição de mais técnicas de controle e métricas.
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    Increasing students' interest with low-cost CellBots
    (IEEE, 2013-02) Aroca, Rafael Vidal; Gomes, Rafael Beserra; Tavares, Dalton Matsuo; Souza, Anderson Abner de Santana; Burlamaqui, Aquiles Medeiros Filgueira; Caurin, Glauco Augusto de Paula; Goncalves, Luiz Marcos Garcia
    This paper introduces the use of a flexible and affordable educational robot specifically developed for the practical experimentation inherent to technological disciplines. The robot has been designed to be reconfigurable and extendible, serving as an experimental platform across several undergraduate courses. As most students have a mobile cell phone, this was used as the main control computer for the so-called CellBot, thus avoiding any need to deal with the details of microcontrollers or other embedded computing devices. Assessment results are also presented, based on a pre- and post-survey of student opinion administered to 204 science and engineering students from several universities. Among the conclusions are that 83% of the students prefer to use these low-cost robots as tools to improve their learning of the theory in several disciplines, and 71% of the students stated that they prefer to have their own robot to experiment with, instead of using a didactic kit loaned to them by the university
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    The H-N2N framework: towards providing interperception in massive applications
    (Springer, 2009-05-23) Burlamaqui, Aquiles Medeiros Filgueira; Azevedo, Samuel Oliveira de; Dantas, Rummenigge Rudson; Schneider, Claúdio Alexandre; Xavier, Josivan; Melo, Julio Cesar Paulino de; Goncalves, Luiz Marcos Garcia; Souza Filho, Guido Lemos de; Oliveira, Jauvane Cavalcante de
    We propose a framework with a flexible architecture that have been designed and implemented for collaborative interaction of users, to be applied in massive applications through the Web. We introduce the concept of interperception and use technologies as massive virtual environments and teleoperation for the creation of environments (mixing virtual and real ones) in order to promote accessibility and transparency in the interaction between people, and between people and animate devices (such as robots) through the Web. Experiments with massive games, with interactive applications in digital television, with users and robots interacting in virtual and real versions of museums and cultural centers are presented to validate our proposal
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    A Versatile method for depth Data error estimation in RGB-D sensors
    (MDPI, 2018-09-13) Avila, Elizabeth Viviana Cabrera; Fernandez, Luiz Enrique Ortiz; Slva, Bruno Marques Ferreira a; clua, Esteban Walter G.; Goncalves, Luiz Marcos Garcia
    We propose a versatile method for estimating the RMS error of depth data provided by generic 3D sensors with the capability of generating RGB and depth (D) data of the scene, i.e., the ones based on techniques such as structured light, time of flight and stereo. A common checkerboard is used, the corners are detected and two point clouds are created, one with the real coordinates of the pattern corners and one with the corner coordinates given by the device. After a registration of these two clouds, the RMS error is computed. Then, using curve fittings methods, an equation is obtained that generalizes the RMS error as a function of the distance between the sensor and the checkerboard pattern. The depth errors estimated by our method are compared to those estimated by state-of-the-art approaches, validating its accuracy and utility. This method can be used to rapidly estimate the quality of RGB-D sensors, facilitating robotics applications as SLAM and object recognition
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